NVIDIA Quadro GV100 vs NVIDIA T1000 8 GB Comparison

NVIDIA Quadro GV100 and NVIDIA T1000 8 GB represent two very different eras and performance classes within NVIDIA’s professional lineup, with the data showing a decisive overall victory for the older, larger flagship. The Quadro GV100’s average benchmark score of 35,520 places it in the 80th percentile of all GPUs, while the T1000 8 GB’s average of 34,561 lands at the 79th percentile. Despite the narrow overall average gap, the single head-to-head benchmark available reveals a massive performance disparity, with the GV100 delivering a 303.7% higher score in Geekbench Vulkan. The GV100 is an end-of-life product from the Volta generation, launched in March 2018, while the T1000 8 GB is also end-of-life but from the newer Turing generation, released in May 2021. The GV100 is a dual-slot, 250 W board requiring a 600 W power supply, whereas the T1000 8 GB is a single-slot, 50 W card with no power connectors and a 250 W suggested PSU. The GV100’s nearest rival by average score is the NVIDIA GeForce RTX 5070 Ti Mobile at 35,435 (0.2% lower), while the T1000 8 GB’s closest competitor is the AMD Radeon HD 7970 at 34,541 (0.1% lower). The GV100’s nearest rivals also include the T1000 itself, which sits 2.1% below the GV100’s average, and the NVIDIA A2 at 34,690 (2.4% lower). The T1000 8 GB’s rivals include the NVIDIA A2 at 34,690 (0.4% higher) and the NVIDIA TITAN V at 34,355 (0.6% lower).

Head-to-Head Benchmarks

The only direct benchmark comparison available in the data is the Geekbench Vulkan test, and the results are overwhelmingly in favor of the NVIDIA Quadro GV100. The GV100 scores 139,526 points, while the T1000 8 GB scores 34,561 points. This translates to a delta of 303.7%, meaning the GV100 is roughly four times faster in this specific graphics API workload. This is not a marginal win; it is a generational and architectural chasm. The GV100’s Vulkan score alone exceeds the T1000 8 GB’s average benchmark score across all tests (34,561) by a factor of four, underscoring the scale of the performance difference. The T1000 8 GB’s only listed benchmark is this same Geekbench Vulkan test, so its entire average score of 34,561 is derived from this single result. Meanwhile, the GV100’s average of 35,520 is pulled from a broader set of nine benchmarks, including OpenCL and Passmark tests, which means its Vulkan dominance is part of a wider pattern of high compute performance.

The GV100 also wins the total win count, taking 1 out of 1 head-to-head benchmarks, while the T1000 8 GB wins none. Looking at the broader benchmark suite for the GV100, its Passmark G3D score is 19,650, and its Geekbench OpenCL score is 150,004, both of which are far above the T1000 8 GB’s single Vulkan result. The GV100’s Passmark GPU Compute score of 9,069 further illustrates its compute-heavy design, while its Passmark DirectX 12 score of 84 and DirectX 11 score of 168 are notably lower, suggesting that the GV100’s strengths lie in compute and Vulkan workloads rather than older DirectX rasterization. The T1000 8 GB has no comparable DirectX or OpenCL scores in the data, so a direct comparison in those tests is not possible, but the Vulkan result alone is sufficient to establish the GV100’s clear superiority in modern graphics API performance.

Where Each One Wins

The NVIDIA Quadro GV100 wins decisively in raw compute and modern graphics API performance. Its Geekbench Vulkan score of 139,526 is 303.7% higher than the T1000 8 GB’s 34,561, making it the clear choice for Vulkan-based workloads, which are common in professional visualization and game development. The GV100’s FP32 throughput of 16.66 TFLOPS and FP16 of 33.32 TFLOPS (2:1) dwarf the T1000 8 GB’s 2.500 TFLOPS FP32 and 5.000 TFLOPS FP16, indicating a massive advantage in general-purpose compute tasks like simulation, rendering, and machine learning inference. The GV100 also has 640 tensor cores, while the T1000 8 GB has none, giving the GV100 a unique edge for AI and deep learning workloads that leverage tensor operations. With 32 GB of HBM2 memory and 868.4 GB/s of bandwidth, the GV100 can handle far larger datasets and memory-intensive workloads than the T1000 8 GB’s 8 GB of GDDR6 at 160.0 GB/s. The GV100’s pixel rate of 208.3 GPixel/s and texture rate of 520.6 GTexel/s are also far ahead of the T1000 8 GB’s 44.64 GPixel/s and 78.12 GTexel/s, making it superior for high-resolution rendering and texture-heavy scenes.

The NVIDIA T1000 8 GB wins in efficiency and physical footprint, though not in raw performance. Its 50 W TDP is one-fifth of the GV100’s 250 W, and it requires no power connectors, making it far easier to integrate into existing systems without PSU upgrades. Its single-slot design and compact dimensions of 156 mm length and 69 mm height (versus the GV100’s 267 mm length and 111 mm height) make it suitable for space-constrained chassis and multi-GPU configurations where the dual-slot GV100 would not fit. The T1000 8 GB also has a lower suggested PSU of 250 W versus the GV100’s 600 W, reducing system power requirements. While the T1000 8 GB’s average benchmark score of 34,561 is only 2.7% lower than the GV100’s 35,520, this is misleading because the T1000 8 GB’s score comes from a single Vulkan test, whereas the GV100’s average spans multiple workloads. In practical terms, the T1000 8 GB is a low-power, low-profile option for basic workstation tasks, while the GV100 is a high-performance compute powerhouse.

FAQ

Q: Which GPU is faster in Geekbench Vulkan?

A: The NVIDIA Quadro GV100 is significantly faster, scoring 139,526 compared to the T1000 8 GB’s 34,561, a 303.7% advantage.

Q: What is the average benchmark score difference between the two?

A: The GV100 has an average benchmark score of 35,520, while the T1000 8 GB scores 34,561, a difference of 2.7% in favor of the GV100.

Q: Does the T1000 8 GB have any benchmark wins over the GV100?

A: No, the data shows the GV100 wins the only head-to-head benchmark (Geekbench Vulkan), and the T1000 8 GB has zero wins.

Q: How do the memory configurations compare?

A: The GV100 has 32 GB of HBM2 with a 4096-bit bus and 868.4 GB/s bandwidth, while the T1000 8 GB has 8 GB of GDDR6 with a 128-bit bus and 160.0 GB/s bandwidth.

Q: What is the power consumption difference?

A: The GV100 has a 250 W TDP and requires a 600 W suggested PSU, while the T1000 8 GB has a 50 W TDP and only needs a 250 W suggested PSU.

Q: Which GPU has tensor cores?

A: The GV100 has 640 tensor cores, while the T1000 8 GB has none, giving the GV100 an advantage in AI and deep learning tasks.

Specification Differences

The two GPUs differ across nearly every core specification. The GV100 uses the GV100 chip based on Volta architecture, while the T1000 8 GB uses the TU117 chip based on Turing architecture. Both are manufactured on a 12 nm process at TSMC, but the GV100 has 21,100 million transistors on an 815 mm² die, whereas the T1000 8 GB has 4,700 million transistors on a 200 mm² die. This results in a transistor density of 25.9M per mm² for the GV100 versus 23.5M per mm² for the T1000 8 GB. Clock speeds differ, with the GV100 running at a base of 1132 MHz and boost of 1627 MHz, while the T1000 8 GB runs at 1065 MHz base and 1395 MHz boost. Memory clocks are also different: the GV100’s memory runs at 848 MHz (1696 Mbps effective), while the T1000 8 GB’s memory runs at 1250 MHz (10 Gbps effective).

The shading units, TMUs, and ROPs are vastly different. The GV100 has 5,120 shading units, 320 TMUs, and 128 ROPs, while the T1000 8 GB has 896 shading units, 56 TMUs, and 32 ROPs. The GV100 includes 640 tensor cores, while the T1000 8 GB has none. Pixel and texture rates are also far apart, with the GV100 at 208.3 GPixel/s and 520.6 GTexel/s versus the T1000 8 GB’s 44.64 GPixel/s and 78.12 GTexel/s. FP32 performance is 16.66 TFLOPS for the GV100 and 2.500 TFLOPS for the T1000 8 GB, with FP16 at 33.32 TFLOPS (2:1) and 5.000 TFLOPS (2:1), respectively. The GV100 has a 250 W TDP, dual-slot width, and a single 8-pin power connector, while the T1000 8 GB has a 50 W TDP, single-slot width, and no power connectors. The GV100 is 267 mm long and 111 mm tall, while the T1000 8 GB is 156 mm long and 69 mm tall. Display outputs differ, with the GV100 offering 4x DisplayPort 1.4a and the T1000 8 GB offering 4x mini-DisplayPort 1.4a.

Architecture Differences

Architecturally, the GV100 is built on Volta, while the T1000 8 GB is built on Turing, representing two distinct generations of NVIDIA professional GPUs. The GV100’s chip is GV100, and its generation is listed as “Quadro Volta (Vx000),” whereas the T1000 8 GB’s chip is TU117, and its generation is “Quadro Turing (Tx000).” The GV100’s transistor count of 21,100 million is over four times higher than the T1000 8 GB’s 4,700 million, and its die size of 815 mm² is more than four times larger than the T1000 8 GB’s 200 mm². The GV100 features 640 tensor cores, which are absent from the T1000 8 GB, indicating a focus on AI acceleration in the Volta design. The GV100 uses HBM2 memory with a 4096-bit bus, while the T1000 8 GB uses GDDR6 with a 128-bit bus, reflecting different memory technology generations and bandwidth priorities. The GV100’s FP16 performance is exactly double its FP32 performance (33.32 TFLOPS vs 16.66 TFLOPS), and the T1000 8 GB shows the same 2:1 ratio (5.000 TFLOPS vs 2.500 TFLOPS), but the absolute numbers are dramatically lower for the T1000 8 GB. Both GPUs support DirectX 12 (12_1), OpenGL 4.6, and Vulkan 1.4, but the GV100’s Vulkan performance is far superior, as shown by the 303.7% delta. The GV100 was released on March 26, 2018, and its predecessor is Quadro Pascal, while the T1000 8 GB was released on May 5, 2021, and its predecessor is Quadro Volta, making the T1000 8 GB a direct successor to the GV100’s product line.

The Verdict

For users prioritizing raw performance, the NVIDIA Quadro GV100 is the unequivocal choice. Its Geekbench Vulkan score of 139,526 is 303.7% higher than the T1000 8 GB’s 34,561, and its 16.66 TFLOPS FP32, 640 tensor cores, and 32 GB of HBM2 memory provide a massive compute advantage. The GV100’s average benchmark score of 35,520 is 2.7% higher than the T1000 8 GB’s 34,561, and it sits at the 80th percentile of all GPUs versus the T1000 8 GB’s 79th. The GV100 is designed for heavy compute workloads, including AI, simulation, and high-end visualization, where its 868.4 GB/s bandwidth and 208.3 GPixel/s pixel rate are essential. Its nearest rival, the NVIDIA GeForce RTX 5070 Ti Mobile, scores 35,435, which is 0.2% lower, confirming the GV100’s position as a top-tier performer.

For users with strict power and space constraints, the NVIDIA T1000 8 GB is the practical option, but it comes with a steep performance cost. Its 50 W TDP, single-slot design, and 156 mm length make it ideal for compact workstations, but its 2.500 TFLOPS FP32 and 8 GB GDDR6 memory are a fraction of the GV100’s capabilities. The T1000 8 GB’s average score of 34,561 is close to the GV100’s 35,520, but this is based on a single Vulkan test, not representative of multi-workload performance. The data clearly shows that the GV100 is the superior performer in every measurable way, and the T1000 8 GB should only be selected when its low power draw and physical footprint are non-negotiable requirements. The GV100’s nearest rival, the NVIDIA T1000, is 2.1% lower in average score, reinforcing that the GV100 outclasses the T1000 8 GB in this comparison.