NVIDIA GeForce RTX 4070 SUPER vs NVIDIA T1000 Comparison

Head-to-Head Benchmarks

The recorded data shows a decisive performance gap between these two NVIDIA cards, with the GeForce RTX 4070 SUPER winning both shared benchmark tests outright. In Geekbench OpenCL, the RTX 4070 SUPER scores 172,795 against the T1000’s 37,704, a delta of 358.3% in favor of the newer card. The gap widens further in Geekbench Vulkan, where the RTX 4070 SUPER reaches 205,624 while the T1000 manages only 34,874, a 489.6% advantage. These are not marginal differences; they represent a generational chasm in raw compute throughput.

Looking at average benchmark scores, the RTX 4070 SUPER sits at 43,223, placing it in the 83rd percentile of all GPUs. Its nearest rivals in the database are the Quadro M6000 24 GB (43,262, delta -0.1%), the RTX 5050 Mobile (43,268, delta -0.1%), and the Quadro M6000 (43,301, delta -0.2%). The T1000, by contrast, averages 36,289, which lands it in the 80th percentile. Its closest competitors include the AMD Radeon RX 5300M (36,529, delta -0.7%) and the GeForce GTX TITAN X (36,530, delta -0.7%), with the AMD Radeon Pro Duo (35,860, delta 1.2%) and Quadro GV100 (35,520, delta 2.2%) trailing slightly behind.

What these numbers mean in practice: the RTX 4070 SUPER outperforms the T1000 by roughly 19% in average score terms, but that figure obscures the true story. The head-to-head tests show the RTX 4070 SUPER is between 3.6x and 4.9x faster in the two workloads where both cards were measured. Even the T1000’s strongest recorded result, its Geekbench OpenCL score of 37,704, falls far short of the RTX 4070 SUPER’s weakest shared result. The database shows no benchmark where the T1000 wins, and the win tally stands at 2-0 in favor of the RTX 4070 SUPER.

For users running OpenCL or Vulkan workloads, the RTX 4070 SUPER delivers roughly 4.5x the Vulkan performance and 3.6x the OpenCL performance of the T1000. That is the difference between a card that can handle modern compute tasks comfortably and one that struggles with anything beyond lightweight workloads. The percentile gap, while smaller (83rd vs 80th), still places the two cards in different performance tiers within the broader GPU landscape.

Architecture Differences

The RTX 4070 SUPER is built on NVIDIA’s Ada Lovelace architecture, using the AD104 chip fabricated on a 5 nm process at TSMC. It packs 35,800 million transistors into a 294 mm² die, yielding a transistor density of 121.8 million per square millimeter. The T1000, in contrast, uses the older Turing architecture with the TU117 chip on a 12 nm process, also from TSMC. It contains 4,700 million transistors on a 200 mm² die, for a density of 23.5 million per square millimeter. That is a 5.2x difference in transistor density, which explains much of the performance gap despite the T1000’s smaller physical footprint.

Core counts differ dramatically. The RTX 4070 SUPER features 7,168 shading units, 224 texture mapping units, and 80 raster output pipelines. It also includes 56 ray tracing cores and 224 tensor cores, both of which are absent from the T1000 entirely. The T1000 has 896 shading units, 56 TMUs, and 32 ROPs, with no RT or tensor core support. This means the RTX 4070 SUPER can handle hardware-accelerated ray tracing and AI workloads, while the T1000 cannot leverage either technology.

Clock speeds also favor the newer card. The RTX 4070 SUPER runs at a base clock of 1980 MHz and boosts to 2475 MHz, while the T1000 operates at 1065 MHz base and 1395 MHz boost. Memory clocks tell a similar story: the RTX 4070 SUPER uses 1313 MHz (21 Gbps effective), while the T1000 runs at 1250 MHz (10 Gbps effective). The RTX 4070 SUPER’s memory is rated at 504.2 GB/s bandwidth across a 192-bit bus, versus 160.0 GB/s on a 128-bit bus for the T1000.

API support also diverges. The RTX 4070 SUPER supports DirectX 12 Ultimate (12_2), while the T1000 only reaches DirectX 12 (12_1). Both cards support OpenGL 4.6 and Vulkan 1.4. The T1000 offers a 2:1 FP16 to FP32 ratio (5.000 TFLOPS FP16 vs 2.500 TFLOPS FP32), whereas the RTX 4070 SUPER provides 1:1 FP16 and FP32 at 35.48 TFLOPS each. The RTX 4070 SUPER’s pixel rate is 198.0 GPixel/s and texture rate is 554.4 GTexel/s, compared to 44.64 GPixel/s and 78.12 GTexel/s for the T1000.

The Verdict

From the data alone, the choice is clear for anyone prioritizing raw performance: the RTX 4070 SUPER is in a different class. It wins every shared benchmark, offers over 4.5x the Vulkan performance, and includes hardware features like ray tracing and tensor cores that the T1000 completely lacks. The RTX 4070 SUPER’s 12 GB of GDDR6X memory also provides 3x the capacity and over 3x the bandwidth of the T1000’s 4 GB GDDR6, which matters for modern textures and larger datasets.

However, the T1000 is not without its own merits. It is a single-slot card with no power connectors, drawing only 50 W under load. The RTX 4070 SUPER is dual-slot, requires a 16-pin connector, and has a 220 W TDP with a 550 W suggested PSU. The T1000’s 156 mm length (6.1 inches) and 69 mm height (2.7 inches) make it suitable for compact or constrained chassis, while the RTX 4070 SUPER stretches to 267 mm (10.5 inches) with a 112 mm height and 42 mm width. The T1000 also offers four mini-DisplayPort outputs, which may suit multi-display workstation setups better than the RTX 4070 SUPER’s single HDMI and three DisplayPort outputs.

For users who need maximum compute performance, the RTX 4070 SUPER is the only rational choice based on these measurements. For those who require a low-power, single-slot card for basic display output or light compute, the T1000 fills that niche. The database shows no scenario where the T1000 outperforms the RTX 4070 SUPER, so the decision rests entirely on whether the T1000’s physical and power advantages outweigh its massive performance deficit.

FAQ

Q: Which card is faster in Geekbench Vulkan?

A: The RTX 4070 SUPER scores 205,624 versus the T1000’s 34,874, a delta of 489.6% in favor of the RTX 4070 SUPER.

Q: Does the T1000 support ray tracing?

A: No. The T1000 has no ray tracing cores listed, while the RTX 4070 SUPER includes 56 RT cores.

Q: What is the memory capacity difference?

A: The RTX 4070 SUPER has 12 GB of GDDR6X on a 192-bit bus with 504.2 GB/s bandwidth. The T1000 has 4 GB of GDDR6 on a 128-bit bus with 160.0 GB/s bandwidth.

Q: Can the T1000 be powered without external connectors?

A: Yes, the T1000 requires no power connectors and has a 50 W TDP. The RTX 4070 SUPER needs a 16-pin connector and has a 220 W TDP with a 550 W suggested PSU.

Q: What is the transistor density difference?

A: The RTX 4070 SUPER has 121.8 million transistors per mm² on a 5 nm process, while the T1000 has 23.5 million per mm² on a 12 nm process.

Q: Which card has higher FP32 performance?

A: The RTX 4070 SUPER delivers 35.48 TFLOPS FP32, compared to the T1000’s 2.500 TFLOPS FP32.

Where Each One Wins

The RTX 4070 SUPER wins in every measured benchmark category, but its advantages are most pronounced in compute-heavy workloads. Its FP32 throughput of 35.48 TFLOPS represents a 14.2x advantage over the T1000’s 2.500 TFLOPS, making it vastly more suitable for simulations, rendering, and scientific computing. The presence of 224 tensor cores and 56 RT cores further extends its lead in AI inference and ray-traced rendering, workloads where the T1000 cannot participate at all. The 12 GB memory capacity and 504.2 GB/s bandwidth give it the headroom needed for large datasets and high-resolution textures, while the T1000’s 4 GB and 160.0 GB/s will bottleneck on anything beyond modest workloads.

The T1000 wins in physical and power efficiency, which are not benchmark scores but matter in specific deployments. Its 50 W TDP allows for passive or low-power operation, and its single-slot, 156 mm length profile fits into cases where the RTX 4070 SUPER’s 267 mm dual-slot design will not. The T1000’s four mini-DisplayPort outputs provide more monitor connectivity options for certain workstation configurations. Its 2:1 FP16 ratio (5.000 TFLOPS) also offers proportionally better half-precision throughput relative to its FP32 capability, which could benefit specific machine learning workflows that use mixed precision. However, even that advantage is dwarfed by the RTX 4070 SUPER’s absolute FP16 performance of 35.48 TFLOPS.

Specification Differences

| Specification | RTX 4070 SUPER | T1000 |

|---|---|---|

| Architecture | Ada Lovelace | Turing |

| Process node | 5 nm | 12 nm |

| Transistors | 35,800 million | 4,700 million |

| Die size | 294 mm² | 200 mm² |

| Transistor density | 121.8M / mm² | 23.5M / mm² |

| Base clock | 1980 MHz | 1065 MHz |

| Boost clock | 2475 MHz | 1395 MHz |

| Memory clock | 1313 MHz (21 Gbps effective) | 1250 MHz (10 Gbps effective) |

| Memory size | 12 GB | 4 GB |

| Memory type | GDDR6X | GDDR6 |

| Memory bus | 192 bit | 128 bit |

| Memory bandwidth | 504.2 GB/s | 160.0 GB/s |

| Shading units | 7168 | 896 |

| TMUs | 224 | 56 |

| ROPs | 80 | 32 |

| RT cores | 56 | None |

| Tensor cores | 224 | None |

| Pixel rate | 198.0 GPixel/s | 44.64 GPixel/s |

| Texture rate | 554.4 GTexel/s | 78.12 GTexel/s |

| FP32 | 35.48 TFLOPS | 2.500 TFLOPS |

| FP16 | 35.48 TFLOPS (1:1) | 5.000 TFLOPS (2:1) |

| TDP | 220 W | 50 W |

| Slot width | Dual-slot | Single-slot |

| Power connectors | 1x 16-pin | None |

| Suggested PSU | 550 W | 250 W |

| Bus interface | PCIe 4.0 x16 | PCIe 3.0 x16 |

| Display outputs | 1x HDMI 2.1, 3x DisplayPort 1.4a | 4x mini-DisplayPort 1.4a |

| DirectX support | 12 Ultimate (12_2) | 12 (12_1) |

| Dimensions | 267 mm x 112 mm x 42 mm | 156 mm x 69 mm |

The RTX 4070 SUPER carries a launch MSRP of 599 USD. The T1000 has no recorded launch MSRP in the database. Both cards are marked as end-of-life production status, with the RTX 4070 SUPER released on 2024-01-16 and the T1000 on 2021-05-05.