GPU Comparison

The NVIDIA T1000 and AMD Radeon RX 7900 GRE occupy drastically different corners of the GPU spectrum, yet their average benchmark scores place them surprisingly close in the database rankings. The T1000, a 50 W single-slot workstation card from the Turing era, and the RX 7900 GRE, a 260 W dual-slot RDNA 3.0 monster, both land at the 80th percentile among all GPUs. However, the data reveals that this parity in average score is a statistical illusion, as the head-to-head results show a complete sweep by the AMD part. The T1000’s average benchmark score of 36282 is a hair above the RX 7900 GRE’s 36101, a 0.5% difference, but this is built on only two test results, while the RX 7900 GRE has a much broader testing footprint.

Head-to-Head Benchmarks

In the direct head-to-head comparisons, the RX 7900 GRE dominates with decisive margins. In the Geekbench OpenCL test, the AMD card scores 167913, while the NVIDIA T1000 manages 37634. This translates to a deltaPct of -77.6% from the T1000’s perspective, meaning the RX 7900 GRE is roughly 4.5 times faster in raw compute throughput. The gap is similarly stark in Geekbench Vulkan: the RX 7900 GRE posts 144142 against the T1000’s 34930, a -75.8% delta. These are not marginal victories; they represent a generational and architectural chasm in execution capability.

The T1000’s only statistical consolation is that its average benchmark score of 36282 is slightly higher than the RX 7900 GRE’s 36101, a difference of 0.5% according to the nearestRivals data. This is almost entirely due to the T1000’s two scores (37634 and 34930) averaging out favorably, whereas the RX 7900 GRE’s average is pulled down by its diverse test suite, which includes lower DirectX 9 and 10 results. In the two tests they share, the RX 7900 GRE wins both outright, making the T1000’s average-score edge a quirk of limited data rather than a meaningful performance advantage.

When examining the rival landscape, the T1000 sits within a 1.2% delta of the AMD Radeon Pro Duo and 0.2% behind the AMD Radeon RX 5300M, showing it is competitive with older or lower-tier parts. The RX 7900 GRE, conversely, is 0.6% behind the GeForce GTX TITAN X and 0.7% behind the RX 5300M in average score, yet its head-to-head with the T1000 is a landslide. This suggests the average score metric heavily weights different workloads, and the RX 7900 GRE’s true strength lies in modern, compute-heavy APIs where its FP32 throughput of 45.98 TFLOPS dwarfs the T1000’s 2.500 TFLOPS.

Where Each One Wins

The AMD Radeon RX 7900 GRE wins every shared benchmark, which makes its use-case profile clear: it is built for high-throughput compute and modern graphics workloads. Its Geekbench OpenCL score of 167913 indicates exceptional raw compute performance, suited for tasks like rendering, simulation, and machine learning inference where massive parallel processing is required. The Vulkan score of 144142 reinforces this, showing strong performance in current-generation game engines and compute APIs that leverage explicit multi-threading.

The NVIDIA T1000, despite losing both head-to-head tests, still has a position in the market. Its 50 W TDP and single-slot design, coupled with 4 GB of GDDR6 memory on a 128-bit bus, make it a candidate for low-profile or power-constrained environments where the 260 W RX 7900 GRE would be impractical. The T1000’s 160.0 GB/s memory bandwidth is a fraction of the RX 7900 GRE’s 576.0 GB/s, but for legacy or light-duty tasks, the T1000’s 80th percentile standing shows it is not obsolete. The fact that it scores within 0.1% of the GeForce GTX TITAN X (36305) in average score suggests it retains relevance for older DirectX 11 workloads, where the RX 7900 GRE’s passmark_directx_11 score of 300 is notable but not transformative.

However, the RX 7900 GRE’s wins are not just in raw numbers; they extend to feature support. It offers DirectX 12 Ultimate (12_2), while the T1000 is limited to DirectX 12 (12_1). Both support OpenGL 4.6 and Vulkan 1.4, but the RX 7900 GRE’s 80 ray tracing cores provide hardware acceleration for ray-traced effects, a feature the T1000 lacks entirely. For any workload involving modern rendering pipelines, the RX 7900 GRE is the only viable choice between these two.

Architecture Differences

The architectural divide between these GPUs is profound. The NVIDIA T1000 uses the TU117 chip on the Turing architecture, fabricated on a 12 nm process at TSMC, with 4,700 million transistors on a 200 mm² die. This yields a transistor density of 23.5M per mm². In contrast, the AMD Radeon RX 7900 GRE uses the Navi 31 chip on the RDNA 3.0 architecture, also built by TSMC, but on a 5 nm process. It packs 57,700 million transistors into a 529 mm² die, achieving a density of 109.1M per mm². The node advantage alone explains much of the performance gap, as the 5 nm process allows for over 12 times the transistor count in a die that is only 2.6 times larger.

Core configurations are equally divergent. The T1000 has 896 shading units, 56 texture mapping units, and 32 ROPs, with no dedicated ray tracing or tensor cores. The RX 7900 GRE, by contrast, fields 5120 shading units, 320 TMUs, and 160 ROPs, alongside 80 ray tracing cores. This is a 5.7x increase in shading units and a 5x increase in ROPs, which directly translates to the pixel rate gap: 44.64 GPixel/s for the T1000 versus 359.2 GPixel/s for the RX 7900 GRE. Texture rate follows suit, with 78.12 GTexel/s versus 718.4 GTexel/s.

Clock speeds also favor the AMD part. The T1000 boosts to 1395 MHz, while the RX 7900 GRE boosts to 2245 MHz, with a game clock of 1880 MHz. Memory configuration is another chasm: the T1000 has 4 GB of GDDR6 on a 128-bit bus, while the RX 7900 GRE has 16 GB on a 256-bit bus. The memory clock of 2250 MHz (18 Gbps effective) versus 1250 MHz (10 Gbps effective) yields the 576.0 GB/s versus 160.0 GB/s bandwidth disparity. The RX 7900 GRE also uses PCIe 4.0 x16, while the T1000 is limited to PCIe 3.0 x16, halving potential transfer bandwidth to the host system.

FAQ

Q: Why do the average benchmark scores appear so close despite the RX 7900 GRE winning all head-to-head tests?

A: The T1000’s average score of 36282 is based on only two benchmarks (Geekbench OpenCL and Vulkan), while the RX 7900 GRE’s average of 36101 includes ten tests, some of which are older DirectX 9 and 10 workloads where it scores lower. The shared tests show a 75-78% gap favoring the RX 7900 GRE, but the T1000’s limited data set skews its average upward.

Q: Does the T1000 have any performance advantage in the head-to-head benchmarks?

A: No. The data shows the RX 7900 GRE wins Geekbench OpenCL (167913 vs 37634) and Geekbench Vulkan (144142 vs 34930). The T1000’s only advantage is its slightly higher average score, which is a statistical artifact, not a direct comparison result.

Q: What is the TDP difference and how does it relate to performance?

A: The T1000 has a 50 W TDP, while the RX 7900 GRE has a 260 W TDP. The RX 7900 GRE delivers roughly 4.5 times the OpenCL performance and 4.1 times the Vulkan performance, suggesting the power draw scales with compute output. The T1000 requires no power connectors, while the RX 7900 GRE needs two 8-pin connectors and a 600 W suggested PSU.

Q: Which card has better memory bandwidth, and why does it matter?

A: The RX 7900 GRE has 576.0 GB/s bandwidth, versus the T1000’s 160.0 GB/s. This is due to a 256-bit bus versus 128-bit, and faster memory clocks (18 Gbps effective vs 10 Gbps). Higher bandwidth enables the RX 7900 GRE to feed its 5120 shading units more effectively, especially in texture-heavy and compute-dense workloads.

Q: Are there any architectural features the T1000 has that the RX 7900 GRE lacks?

A: The data lists no such features. The RX 7900 GRE has 80 ray tracing cores, which the T1000 does not have. Both support OpenGL 4.6 and Vulkan 1.4, but the RX 7900 GRE supports DirectX 12 Ultimate (12_2), while the T1000 only supports DirectX 12 (12_1). The T1000’s only unique attributes are its smaller size (156 mm length) and lower power draw.

Q: What does the percentile rank of 80 for both cards indicate?

A: Both GPUs fall at the 80th percentile among all GPUs in the database, meaning they are in the top 20% of all tested graphics cards. However, this percentile is based on average scores, which for the T1000 is misleading given its narrow test set and its actual performance being far below the RX 7900 GRE in shared benchmarks.

The Verdict

The data is unambiguous: the AMD Radeon RX 7900 GRE is the superior performer in every direct comparison. Its Geekbench OpenCL score of 167913 is 4.46 times higher than the T1000’s 37634, and its Vulkan score of 144142 is 4.13 times higher. The RX 7900 GRE’s 16 GB memory, 576.0 GB/s bandwidth, and 45.98 TFLOPS FP32 throughput make it the choice for any workload that demands raw compute, modern graphics features like ray tracing, or high-resolution texture handling. The T1000’s 4 GB memory and 2.500 TFLOPS FP32 are simply insufficient for these tasks.

The T1000’s sole rationale is its physical and electrical footprint. At 50 W, single-slot, 156 mm length, and no power connectors, it can fit into compact or legacy systems where the RX 7900 GRE’s 260 W, dual-slot, 276 mm length, and two 8-pin connectors would be impossible. The T1000 also has a 250 W suggested PSU versus the RX 7900 GRE’s 600 W, making it the only option for minimal power budgets. However, its performance is so far behind that any user needing even moderate modern compute should look elsewhere.

For a buyer choosing strictly between these two, the decision hinges on power and space constraints versus performance needs. If the system can accommodate the RX 7900 GRE’s power and size, it is the clear winner. If the use case is limited to low-power, low-resolution, or legacy applications, the T1000 can still function, but it will not compete in any modern benchmark. The data suggests the RX 7900 GRE is the only rational choice for gaming, rendering, or compute, while the T1000 is a niche product for specific low-power environments.

Specification Differences

| Specification | NVIDIA T1000 | AMD Radeon RX 7900 GRE |

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

| Process Node | 12 nm | 5 nm |

| Transistors | 4,700 million | 57,700 million |

| Die Size | 200 mm² | 529 mm² |

| Transistor Density | 23.5M / mm² | 109.1M / mm² |

| Base Clock | 1065 MHz | 1287 MHz |

| Boost Clock | 1395 MHz | 2245 MHz |

| Game Clock | N/A | 1880 MHz |

| Memory Clock | 1250 MHz (10 Gbps effective) | 2250 MHz (18 Gbps effective) |

| Memory Size | 4 GB | 16 GB |

| Memory Bus Width | 128 bit | 256 bit |

| Memory Bandwidth | 160.0 GB/s | 576.0 GB/s |

| Shading Units | 896 | 5120 |

| TMUs | 56 | 320 |

| ROPs | 32 | 160 |

| RT Cores | N/A | 80 |

| Pixel Rate | 44.64 GPixel/s | 359.2 GPixel/s |

| Texture Rate | 78.12 GTexel/s | 718.4 GTexel/s |

| FP32 | 2.500 TFLOPS | 45.98 TFLOPS |

| FP16 | 5.000 TFLOPS (2:1