NVIDIA Quadro GV100 vs NVIDIA T600 Mobile Comparison
NVIDIA Quadro GV100
T600 Mobile
PERFORMANCE BENCHMARKS
Analysis: NVIDIA Quadro GV100 vs NVIDIA T600 Mobile
The NVIDIA Quadro GV100 and NVIDIA T600 Mobile occupy opposite ends of the professional GPU spectrum, yet both are end-of-life products from NVIDIA’s Quadro lineage. The GV100 is a Volta-generation behemoth designed for compute-heavy workstations, while the T600 Mobile is a Turing-based, low-power mobile part aimed at portability and basic visualization. The benchmark data reveals a chasm in raw performance, but the architectural and practical differences tell a more nuanced story.
Head-to-Head Benchmarks
Only two shared benchmarks exist in the data, and the Quadro GV100 dominates both with staggering margins. In Geekbench OpenCL, the GV100 scores 150,004 against the T600 Mobile’s 35,486, a delta of 322.7% in favor of the larger card. The Vulkan test is even more lopsided: the GV100 posts 139,526 versus 30,211, a 361.8% advantage. These are not incremental wins; the GV100 outperforms the T600 Mobile by factors of roughly 4.2x and 4.6x, respectively.
The magnitude of these deltas suggests the T600 Mobile is not competing in the same performance class. Rather than a close contest, the data implies the GV100 is in a different tier entirely. The T600 Mobile’s own nearest rivals—such as the NVIDIA P104-100 (average score 32,982, delta -0.4%) and AMD Radeon RX 590 GME (32,601, +0.8%)—cluster within a few percentage points of its 32,849 average. Meanwhile, the GV100’s average score of 35,520 places it near the NVIDIA GeForce RTX 5070 Ti Mobile (35,435, delta 0.2%) and AMD Radeon Pro Duo (35,860, delta -0.9%). This positioning confirms that the GV100’s nearest competition is modern, high-end silicon, not the T600 Mobile.
However, the T600 Mobile is not without merit in these synthetic tests. Its Geekbench OpenCL score of 35,486 is remarkably close to the GV100’s average benchmark score of 35,520, indicating that in a single compute workload, the mobile chip can approach the overall average of its far larger sibling. Yet, the GV100’s OpenCL score alone (150,004) dwarfs the T600’s entire benchmark portfolio, underscoring that the head-to-head results are less a comparison and more a demonstration of scale.
Architecture Differences
The architectural gap is fundamental. The GV100 uses the Volta architecture on a 12 nm TSMC process, packing 21,100 million transistors into an 815 mm² die. The T600 Mobile also uses 12 nm TSMC, but with only 4,700 million transistors on a 200 mm² die. Transistor density is marginally higher on the GV100 at 25.9M per mm² versus 23.5M per mm², but the sheer scale difference—over 4.5 times the transistor count—explains the performance disparity.
Shading units tell a similar story: the GV100 has 5,120, compared to the T600 Mobile’s 896. Texture mapping units (TMUs) are 320 versus 56, and render output units (ROPs) are 128 versus 32. The GV100 also features 640 tensor cores, which the T600 Mobile lacks entirely. Memory is another chasm: the GV100 offers 32 GB of HBM2 on a 4096-bit bus, delivering 868.4 GB/s bandwidth, while the T600 Mobile has 4 GB of GDDR6 on a 128-bit bus at 192.0 GB/s. Clock speeds differ too, with the GV100 boosting to 1627 MHz versus 1410 MHz on the T600 Mobile, though the latter has a lower base clock of 780 MHz against 1132 MHz.
The GV100’s FP32 throughput is 16.66 TFLOPS, versus 2.527 TFLOPS on the T600 Mobile—a 6.6x gap. FP16 is similarly lopsided at 33.32 TFLOPS versus 5.053 TFLOPS. Pixel rate and texture rate follow suit: 208.3 GPixel/s and 520.6 GTexel/s on the GV100, compared to 45.12 GPixel/s and 78.96 GTexel/s on the T600. These figures suggest the GV100 is built for massive parallel compute, while the T600 Mobile is designed for efficiency and portability, with a 40 W TDP versus the GV100’s 250 W. The GV100 requires a dual-slot cooler, an 8-pin power connector, and a 600 W suggested PSU; the T600 Mobile is an IGP with no power connectors.
FAQ
Q: Which GPU has higher raw compute performance?
A: The Quadro GV100. Its FP32 throughput is 16.66 TFLOPS, and FP16 is 33.32 TFLOPS, versus 2.527 TFLOPS and 5.053 TFLOPS on the T600 Mobile.
Q: How do their memory subsystems compare?
A: The GV100 offers 32 GB of HBM2 with 868.4 GB/s bandwidth on a 4096-bit bus. The T600 Mobile has 4 GB of GDDR6 with 192.0 GB/s on a 128-bit bus.
Q: What is the power draw difference?
A: The GV100 has a 250 W TDP and requires a dual-slot cooler and 600 W suggested PSU. The T600 Mobile has a 40 W TDP and uses no power connectors, being an IGP.
Q: Do both support the same APIs?
A: Yes, both support DirectX 12 (12_1), OpenGL 4.6, and Vulkan 1.4.
Q: Which GPU has tensor cores?
A: Only the GV100, with 640 tensor cores. The T600 Mobile has none.
Q: What are their release dates?
A: The GV100 launched on 2018-03-26, while the T600 Mobile arrived on 2021-04-11.
The Verdict
The data is unambiguous: the Quadro GV100 wins every head-to-head benchmark by over 300%, and its architectural specifications are uniformly superior. For any workload that demands high FP32 or FP16 throughput, large memory capacity, or tensor core acceleration, the GV100 is the only choice between these two. Its 80th percentile ranking among all GPUs, with an average score of 35,520, places it in the company of modern high-end parts like the RTX 5070 Ti Mobile.
Conversely, the T600 Mobile, despite a lower 77th percentile, is not a failure—it simply serves a different purpose. Its 40 W TDP and IGP form factor make it viable for portable devices where power and space are constrained. Its Geekbench OpenCL score of 35,486 is respectable for a mobile chip, and its average score of 32,849 puts it near desktop parts like the AMD Radeon RX 590 GME. The verdict is not about which is "better" in absolute terms, but which fits the intended use case: the GV100 for performance, the T600 Mobile for efficiency.
Specification Differences
The two GPUs differ in nearly every measurable spec. The GV100 uses the Volta architecture on a 12 nm process with 21,100 million transistors and an 815 mm² die; the T600 Mobile uses Turing on 12 nm with 4,700 million transistors and a 200 mm² die. Shading units are 5,120 versus 896, TMUs 320 versus 56, and ROPs 128 versus 32. The GV100 has 640 tensor cores; the T600 has none. Memory is 32 GB HBM2 versus 4 GB GDDR6, with bus widths of 4096-bit and 128-bit, respectively. Bandwidth is 868.4 GB/s versus 192.0 GB/s. Base clocks are 1132 MHz versus 780 MHz, and boost clocks are 1627 MHz versus 1410 MHz. FP32 is 16.66 TFLOPS versus 2.527 TFLOPS, and FP16 is 33.32 TFLOPS versus 5.053 TFLOPS. Pixel rate is 208.3 GPixel/s versus 45.12 GPixel/s, and texture rate is 520.6 GTexel/s versus 78.96 GTexel/s. TDP is 250 W versus 40 W. The GV100 is dual-slot with a 1x 8-pin connector and 600 W suggested PSU; the T600 is IGP with no connectors. The GV100 has 4x DisplayPort 1.4a outputs, while the T600’s outputs are "Portable Device Dependent." Dimensions differ: the GV100 is 267 mm long and 111 mm high; the T600 has no listed dimensions. Release dates are 2018-03-26 versus 2021-04-11. The launch MSRP for the GV100 is 8,999 USD; no MSRP is listed for the T600.
Where Each One Wins
The Quadro GV100 wins in every benchmark category present in the data, and its specification sheet suggests clear dominance in compute-heavy tasks. The 32 GB HBM2 memory with 868.4 GB/s bandwidth is suited for large datasets, such as scientific simulations or deep learning models, where memory capacity and bandwidth are critical. The 640 tensor cores provide dedicated hardware for AI inference and training workloads. Its 16.66 TFLOPS FP32 and 33.32 TFLOPS FP16 performance make it a candidate for rendering, video processing, and any parallel compute task that can utilize its 5,120 shading units. The GV100’s 80th percentile ranking and proximity to the RTX 5070 Ti Mobile in average score indicate it remains competitive even against newer parts.
The T600 Mobile wins in mobility and power efficiency. Its 40 W TDP allows for integration into laptops or compact devices without dedicated power connectors, something the 250 W, dual-slot GV100 cannot offer. The T600’s Geekbench OpenCL score of 35,486 is evidence that it can handle moderate compute tasks, and its 77th percentile ranking—just three points below the GV100—shows it is not far behind in overall standing relative to all GPUs. For basic 3D visualization, CAD, or office productivity with light GPU acceleration, the T600 Mobile provides a functional solution in a portable form factor. Its 4 GB GDDR6 memory is adequate for standard display workloads, though it will struggle with large textures or datasets. The T600 Mobile wins where the GV100 cannot exist: in a power-constrained, space-limited environment that requires a GPU at all.