An alleged NVIDIA GeForce RTX 4080 16 GB graphics card benchmark within 3DMark has leaked out and shows up to 60% gain over the RTX 3080.
NVIDIA GeForce RTX 4080 16 GB Graphics Card Leaks Out In 3DMark Time Spy, Up To 60% Faster Performance Than The RTX 3080
The NVIDIA GeForce RTX 4080 16 GB graphics card was spotted over at Chiphell Forums and based on the data provided, it posted a score of 28,929 points within the 3DMark Time Spy benchmark. It should also be pointed that the graphics card was running at a GPU clock speed of up to 3000 MHz which is a +490 MHz increase over the listed boost clock of 2510 MHz for the 16 GB variant.

NVIDIA's GeForce RTX 4080 16 GB graphics card has been tested within 3DMark Time Spy. (Image Credits: Chiphell Forums)
We can't say for sure if this is an overclocked variant or if it is running at stock clocks. One can also make the graphics card run at higher clocks simply by raising the power limits. The graphics card is seen running at a TBP of 333W while the TGP is rated at 290W. This is within the 320W spec that all reference variants should offer. The GDDR6X memory is operating at 22.4 Gbps so it looks like the memory clock was not touched.
3DMark Time Spy Graphics
Score
0
5000
10000
15000
20000
25000
30000
0
5000
10000
15000
20000
25000
30000
RTX 4080 16 GB 28.9k
RX 6950 XT 21.9k
RTX 3090 Ti 21.9k
RTX 3090 19.7k
RTX 3080 Ti 19.3k
RX 6900 XT 18.5k
RTX 3080 12 GB 18.4k
RTX 3080 10 GB 17.8k
RX 6800 XT 17.8k
RX 6800 15.1k
RTX 2080 Ti 14.1k
In terms of performance, the graphics card scored 28929 points which marks a 32% increase over the RTX 3090 Ti and a 62% increase over the RTX 3080 10 GB graphics card. The card also pushes up to 57% higher performance than the 12 GB RTX 3080. We also saw several 3DMark benchmarks from the same leaker yesterday so to sum it all up:
RTX 4080 16 GB vs RTX 3090 Ti 24 GB in Time Spy Extreme - 20% FasterRTX 4080 16 GB vs RTX 3090 Ti 24 GB in Fire Strike Ultra - 29% FasterRTX 4080 16 GB vs RTX 3090 Ti 24 GB in Port Royal (DXR) - 16% Faster
NVIDIA GeForce RTX 4080 16 GB 'Official' Specifications
The NVIDIA GeForce RTX 4080 16 GB graphics card is expected to utilize a cut-down AD103-300 GPU configuration with 9,728 cores or 76 SMs enabled of the total 84 units whereas the previous configuration offered 80 SMs or 10,240 cores. While the full GPU comes packed with 64 MB of L2 cache and up to 224 ROPs, the RTX 4080 might end up with 48 MB of L2 cache and lower ROPs too due to its cut-down design. The card is expected to be based on the PG136/139-SKU360 PCB. The graphics card is said to offer a peak clock rate of 2505 MHz.

As for memory specs, the GeForce RTX 4080 is expected to rock 16 GB GDDR6X capacities that are said to be adjusted at 22.5 Gbps speeds across a 256-bit bus interface. This will provide up to 720 GB/s of bandwidth. This is still a tad bit slower than the 760 GB/s bandwidth offered by the RTX 3080 since it comes with a 320-bit interface but a lowly 10 GB capacity. To compensate for the lower bandwidth, NVIDIA could be integrating a next-gen memory compression suite to make up for the 256-bit interface.
NVIDIA GeForce RTX 4080 16 GB "Official" TBP - 320WNVIDIA GeForce RTX 3080 12 GB "Official" TBP - 350W
The card will have a TBP of 320W which is 30W lower than the TBP of the 12 GB RTX 3080 and much lower than the TBP of the RTX 3090 Ti while offering a big performance jump. The NVIDIA GeForce RTX 4080 16 GB and RTX 4080 12 GB graphics cards will be launching in November and be priced at $1199 US and $899 US, respectively. Considering if the card does end up around 20-30% faster in games than the RTX 3090 Ti, then it could
NVIDIA GeForce RTX 40 Series Official Specs:
| Graphics Card Name | NVIDIA GeForce RTX 4090 | NVIDIA GeForce RTX 4090 D | NVIDIA GeForce RTX 4080 | NVIDIA GeForce RTX 4070 Ti | NVIDIA GeForce RTX 4070 | NVIDIA GeForce RTX 4060 Ti | NVIDIA GeForce RTX 4060 |
| GPU Name | Ada Lovelace AD102-300 | Ada Lovelace AD102-250 | Ada Lovelace AD103-300 | Ada Lovelace AD104-400 | Ada Lovelace AD104-250 | Ada Lovelace AD106-350 | Ada Lovelace AD107-400 |
| Process Node | TSMC 4N | TSMC 4N | TSMC 4N | TSMC 4N | TSMC 4N | TSMC 4N | TSMC 4N |
| Die Size | 608mm2 | 608mm2 | 378.6mm2 | 294.5mm2 | 294.5mm2 | 190.0mm2 | 146.0mm2 |
| Transistors | 76 Billion | 76 Billion | 45.9 Billion | 35.8 Billion | 35.8 Billion | 22.9 Billion | TBD |
| CUDA Cores | 16384 | TBD | 9728 | 7680 | 5888 | 4352 | 3072 |
| TMUs / ROPs | 512 / 176 | TBD | 320 / 112 | 240 / 80 | 184 / 64 | 136 / 48 | TBD |
| Tensor / RT Cores | 512 / 128 | TBD | 304 / 76 | 240 / 60 | 184 / 46 | 136 / 34 | TBD |
| L2 Cache | 72 MB | TBD | 64 MB | 48 MB | 36 MB | 32 MB | 24 MB |
| Base Clock | 2230 MHz | 2280 MHz | 2210 MHz | 2310 MHz | 1920 MHz | 2310 MHz | 1830 MHz |
| Boost Clock | 2520 MHz | 2520 MHz | 2510 MHz | 2610 MHz | 2475 MHz | 2535 MHz | 2460 MHz |
| FP32 Compute | 83 TFLOPs | TBD | 49 TFLOPs | 40 TFLOPs | 29 TFLOPs | 22 TFLOPs | 15 TFLOPs |
| RT TFLOPs | 191 TFLOPs | TBD | 113 TFLOPs | 82 TFLOPs | 67 TFLOPs | 51 TFLOPs | 35 TFLOPs |
| Tensor-TOPs | 1321 TOPs | TBD | 780 TOPs | 641 TOPs | 466 TOPs | 353 TOPs | 242 TOPs |
| Memory Capacity | 24 GB GDDR6X | 24 GB GDDR6X | 16 GB GDDR6X | 12 GB GDDR6X | 12 GB GDDR6X | 8-16 GB GDDR6 | 8 GB GDDR6 |
| Memory Bus | 384-bit | 384-bit | 256-bit | 192-bit | 192-bit | 128-bit | 128-bit |
| Memory Speed | 21.0 Gbps | 21.0 Gbps | 23.0 Gbps | 21.0 Gbps | 21.0 Gbps | 18.0 Gbps | 17.0 Gbps |
| Bandwidth | 1008 GB/s | 1008 GB/s | 736 GB/s | 504 GB/s | 504 GB/s | 288 GB/s (554 GB/s Effective) | 272 GB/s (453 GB/s Effective) |
| TBP | 450W | 425W | 320W | 285W | 200W | 160-165W | 115W |
| Price (MSRP / FE) | $1599 US / 1949 EU | 12,999 RMB (China-Only) | $1199 US / 1469 EU | $799 US | $599 US | $399-$499 US | $299 US |
| Price (Current) | $1599 US / 1859 EU | 12,999 RMB (China-Only) | $1199 US / 1399 EU | $799 US | $599 US | $399-$499 US | $299 US |
| Launch (Availability) | 12th October 2022 | Early 2024 | 16th November 2022 | 5th January 2023 | 13th April 2023 | 24th May / 18th July 2023 | 29th June 2023 |
.democracy:after{content:'';display:table;clear:both}.democracy ul li,.democracy ul{background:none;padding:0;margin:0}.democracy ul li:before{display:none}.democracy input[type='radio'],.democracy input[type='checkbox']{margin:0;vertical-align:middle}.democracy input[type='radio']:focus,.democracy input[type='checkbox']:focus{outline:0}.democracy ul{list-style:none !important;border:0 !important;padding-left:0 !important}.democracy ul li{list-style:none !important}input[type="submit"].dem-button,a.dem-button,.dem-button{position:relative;display:inline-block;text-decoration:none;-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;user-select:none;line-height:1;border:0;margin:0;padding:0;width:100px;font-size:14px;font-weight:normal;float:right}input[type="submit"].dem-button:focus,a.dem-button:focus,.dem-button:focus{outline:0}input[type="submit"].dem-button:disabled,a.dem-button:disabled,.dem-button:disabled{opacity:.6;cursor:not-allowed}.dem-button:hover{cursor:pointer}a.dem-button:hover{text-decoration:none !important}.democracy{position:relative;margin:0 auto}.democracy input[type='radio'],.democracy input[type='checkbox']{margin-right:.2em}.dem-screen{position:relative;line-height:1.3;padding:20px}ul.dem-vote{margin-bottom:1em}ul.dem-vote li{padding-bottom:0;margin-bottom:0}ul.dem-vote li>*{margin-bottom:.6em}ul.dem-answers li{padding-bottom:1em}.dem-answers .dem-label{margin-bottom:.2em;line-height:1.2}.dem-graph{position:relative;color:#fff;box-sizing:content-box;width:100%;display:table;height:1.2em;line-height:1.2em}.dem-fill{position:absolute;top:0;left:0;height:100%;background-color:#7cb4dd}.dem-voted-this .dem-fill{background-color:#3498db}.dem-votes-txt,.dem-percent-txt{position:relative;display:table-cell;padding-left:.3em;vertical-align:middle;font-size:90%}.dem-poll-info{float:left}.dem-poll-info:after{content:'';display:table;clear:both}.dem-poll-info>*{font-size:85%;display:block;clear:both;opacity:.7;line-height:1.3}.dem-vote label{float:none;display:block}.dem-results-link{display:inline-block;line-height:1;margin:.5em 0;float:left}.dem-vote .dem-disabled{opacity:.5}.democracy .dem-bottom{border-top:1px solid rgba(0,0,0,.1);margin-left:-20px;margin-right:-20px;padding:19px 20px 0 20px}.dem-bottom:after{content:'';display:table;clear:both}.dem-vote-button{float:right}.dem-poll-title{display:block;margin-bottom:1.5em;margin-top:1.2em;font-size:120%}.dem-cache-notice{z-index:10;position:absolute;top:0;border-radius:2px;width:100%;padding:1.5em 2em;text-align:center;background:rgba(247,241,212,.8);color:#6d6214}.dem-notice-close{position:absolute;top:0;right:0;padding:5px;cursor:pointer;line-height:.6;font-size:150%}.dem-notice-close:hover{color:#d26616}.dem-star{font-size:90%;vertical-align:baseline;padding-left:.3em;color:#ff4e00}.dem-poll-note{font-size:90%;padding:.5em;opacity:.8;line-height:1.3}.democracy .dem-copyright{position:absolute;bottom:-1em;right:0;text-decoration:none;border-bottom:0;color:#b2b2b2;opacity:.5;line-height:1}.democracy .dem-copyright:hover{opacity:1}.dem-add-answer{position:relative}.dem-add-answer>*{display:block}.dem-add-answer a{display:inline-block}input.dem-add-answer-txt{width:100%;box-sizing:border-box}.dem-add-answer-close{position:absolute;right:0;padding:0 .7em;cursor:pointer;color:#333}.dem-add-answer-close:hover{color:#ff2700}.dem-edit-link{display:block;position:absolute;top:0;right:0;line-height:1;text-decoration:none !important;border:0 !important}.dem-edit-link svg{width:1.2em !important;fill:#5a5a5a;fill:rgba(0,0,0,.6)}.dem-edit-link:hover svg{fill:#35a91d}.dem-loader{display:none;position:absolute;top:0;left:0;width:100%;height:100%}.dem-loader>*{display:table-cell;vertical-align:middle;text-align:center}.dem-loader svg{width:20%;max-width:100px;min-width:80px;margin-bottom:15%}.dem-loader [class^="dem-"]{margin-bottom:15% !important}.dem-archives .democracy{margin-bottom:2em;padding-bottom:20px;border-bottom:1px dashed #ccc}.dem-archives .dem-archive-link{display:none}.democracy{background:#f6f6f6;margin-bottom:1em;border:1px solid rgba(0,0,0,.1)}.dem-poll-title{margin:0;font-size:16px;padding:20px;border-bottom:1px solid rgba(0,0,0,.1)}.dem-percent-txt,.dem-label-percent-txt{display:none}.dem-votes-txt-percent:before{content:'- ';display:inline}.dem-revote-button:before{content:'◂ '}.dem-graph{background-color:#ddd}.dem-results-link{margin-bottom:0}.dem__checkbox,.dem__radio{display:none !important}.dem__checkbox_label,.dem__radio_label{position:relative;box-sizing:content-box}.dem__checkbox_label .dem__spot,.dem__radio_label .dem__spot{position:relative;display:inline-block;vertical-align:baseline;top:.1em;cursor:pointer;width:12px;height:12px;margin-right:.3em;background:#777}.dem__checkbox_label .dem__spot{border-radius:3px}.dem__radio_label .dem__spot{border-radius:50%}.dem__checkbox_label .dem__spot:after,.dem__radio_label .dem__spot:after{content:'';position:absolute;opacity:0}.dem__checkbox_label .dem__spot:after{width:11px;height:4px;top:0;left:2px;border:2px solid #fff;border-top:0;border-right:0;background:transparent;-ms-transform:rotate(-45deg);-webkit-transform:rotate(-45deg);transform:rotate(-45deg);box-shadow:-1px 1px 1px #555}.dem__radio_label .dem__spot:after{width:6px;height:6px;border-radius:50%;top:50%;left:50%;background:#fff;-ms-transform:translate(-50%,-50%);-webkit-transform:translate(-50%,-50%);transform:translate(-50%,-50%);box-shadow:0 0 0 1px #666,inset -1px -1px 1px #ccc}.dem__checkbox_label:hover .dem__spot::after,.dem__radio_label:hover .dem__spot::after{opacity:.4}.dem__checkbox:checked+.dem__spot,.dem__radio:checked+.dem__spot{border-color:#999}.dem__checkbox:checked+.dem__spot:after,.dem__radio:checked+.dem__spot:after{opacity:1}.dem__checkbox:disabled+.dem__spot,.dem__radio:disabled+.dem__spot{opacity:.5}.dem__checkbox:not(:checked):disabled+.dem__spot:after,.dem__radio:not(:checked):disabled+.dem__spot:after{opacity:0}input[type="submit"].dem-button,a.dem-button,.dem-button{font-weight:700;color:#fff;padding:10px 30px;border-radius:3px;background:#eb0254;transition:background .2s}input[type="submit"].dem-button:hover,a.dem-button:hover,.dem-button:hover{background:#eb0254}input[type="submit"].dem-button:active,a.dem-button:active,.dem-button:active{background:#21935a;box-shadow:0 3px #21935a inset}a.dem-button:visited{color:#fff}
Which NVIDIA GeForce RTX 40 series graphics card are you looking forward to the most? NVIDIA GeForce RTX 4090 Ti (48 GB 600W) NVIDIA GeForce RTX 4090 (24 GB 450W) NVIDIA GeForce RTX 4080 (16 GB 340W) NVIDIA GeForce RTX 4070 (12 GB 285W) NVIDIA GeForce RTX 4060 (8 GB 235W) NVIDIA GeForce RTX 4050 (8 GB 150W)
Vote to see results
Poll Options are limited because JavaScript is disabled in your browser.