NVIDIA T1000 8 GB vs NVIDIA Tesla M60 Comparison

Head-to-Head Benchmarks

The recorded data shows a single direct comparison between these two GPUs, and the NVIDIA T1000 8 GB takes the win. In the Geekbench Vulkan test, the T1000 scores 34561 against the Tesla M60's 31473, a lead of 9.8%. This is a meaningful margin in raw compute performance, placing the T1000 ahead in the only benchmark where both cards share a common workload.

Context from the database's nearest rival comparisons helps frame this result. The T1000's average benchmark score is 34561, which places it in the 79th percentile of all GPUs. Its nearest rivals include the NVIDIA A2 with an average score of 34690, which is 0.4% ahead, and the NVIDIA TITAN V at 34355, which sits 0.6% behind the T1000. The AMD Radeon HD 7970 is nearly identical at 34541, just 0.1% off, and the NVIDIA RTX A1000 trails by 1% with a score of 34207. These figures indicate that the T1000 sits in a tightly contested performance band, where single-digit percentage swings separate it from several well-known cards.

The Tesla M60, by contrast, has an average benchmark score of 30490, which puts it in the 75th percentile of all GPUs. Its nearest rivals include the NVIDIA CMP 70HX at 30476 (a 0% delta), the AMD Radeon RX 6700 at 30433 (0.2% behind), the AMD Radeon RX 6800 at 30095 (1.3% behind), and the NVIDIA GeForce RTX 3070 Ti at 29945 (1.8% behind). The M60 is therefore positioned in a slightly lower performance tier than the T1000, and the head-to-head Vulkan result confirms this gap in practice.

It is worth remembering the T1000 has only one recorded benchmark in the database, the Geekbench Vulkan test, while the M60 has two: Geekbench OpenCL at 29506 and Geekbench Vulkan at 31473. The M60's own OpenCL score is lower than its Vulkan score, suggesting that its performance can vary noticeably depending on the API used. Even taking the M60's stronger Vulkan result, the T1000 still holds a clear edge in the shared workload.

FAQ

Q: Which GPU wins in the direct benchmark comparison?

A: The NVIDIA T1000 8 GB wins the only head-to-head test recorded, the Geekbench Vulkan benchmark, with a score of 34561 compared to the Tesla M60's 31473. This represents a 9.8% advantage.

Q: How does the T1000 compare to its nearest rivals in the database?

A: The T1000's average score of 34561 places it in the 79th percentile. It trails the NVIDIA A2 by 0.4% (34690) and leads the NVIDIA TITAN V by 0.6% (34355), the AMD Radeon HD 7970 by 0.1% (34541), and the NVIDIA RTX A1000 by 1% (34207).

Q: Where does the Tesla M60 sit relative to its own rivals?

A: The M60's average score is 30490, placing it in the 75th percentile. It is essentially tied with the NVIDIA CMP 70HX (30476, 0% delta) and leads the AMD Radeon RX 6700 by 0.2% (30433), the AMD Radeon RX 6800 by 1.3% (30095), and the NVIDIA GeForce RTX 3070 Ti by 1.8% (29945).

Q: Does the Tesla M60 have any benchmark where it outperforms the T1000?

A: No. The database records no benchmark where the M60 beats the T1000. The only shared test, Geekbench Vulkan, shows the T1000 ahead by 9.8%. The M60 does have an additional OpenCL score of 29506, but there is no corresponding T1000 OpenCL score to compare.

Q: What is the T1000's percentile ranking, and what does it mean?

A: The T1000 ranks in the 79th percentile of all GPUs in the database. This means it performs better than roughly four out of five recorded GPUs, placing it in the upper performance tier despite its modest specifications.

Q: What is the M60's percentile ranking, and how does it compare?

A: The M60 ranks in the 75th percentile of all GPUs. While still above average, it sits four percentile points below the T1000, which aligns with the 9.8% deficit seen in the Vulkan head-to-head.

Where Each One Wins

The T1000 wins the only direct benchmark comparison available. In Geekbench Vulkan, it scores 34561 versus 31473 for the M60, a decisive 9.8% margin. This makes the T1000 the clear choice for workloads that rely on Vulkan compute, as it delivers measurably higher performance in that API.

The M60's recorded data shows no win over the T1000 in any shared test. Its best result is the Vulkan score of 31473, which is still below the T1000's mark. However, the M60 does have a second benchmark result, Geekbench OpenCL at 29506, which indicates it can handle OpenCL workloads, but the absence of a T1000 OpenCL score means no direct comparison can be made there. The M60's performance profile is therefore more difficult to fully assess, since it has two API-specific scores that vary by about 6.7% internally (from 29506 to 31473).

For users prioritizing raw Vulkan throughput, the T1000 is the stronger card. For users whose workloads might favor OpenCL, the M60 has a recorded score, but the database provides no evidence that it would beat the T1000 in that test. The data simply does not support any M60 advantage.

Specification Differences

The two cards differ in almost every major specification category. The T1000 uses a 12 nm process node, while the M60 uses 28 nm. The T1000's chip, TU117, contains 4,700 million transistors on a 200 mm² die, giving a transistor density of 23.5 million per mm². The M60's GM204 chip packs 5,200 million transistors on a 398 mm² die, with a density of 13.1 million per mm². The M60 has more transistors overall, but the T1000 achieves a much higher density thanks to the smaller process.

Clock speeds differ substantially. The T1000 runs at a 1065 MHz base clock and boosts to 1395 MHz. The M60 has a much lower base clock of 557 MHz but boosts to 1178 MHz, which is still below the T1000's base frequency. Memory clocks also diverge: the T1000 uses 1250 MHz with 10 Gbps effective speed, while the M60 runs at 1253 MHz with 5 Gbps effective. Both cards have 8 GB of memory, but the T1000 uses GDDR6 on a 128-bit bus for 160.0 GB/s bandwidth, while the M60 uses GDDR5 on a 256-bit bus for 160.4 GB/s. Bandwidth is nearly identical, but the T1000 achieves it with half the bus width and faster memory.

The compute configurations are very different. The T1000 has 896 shading units, 56 texture mapping units, and 32 ROPs. The M60 has 2048 shading units, 128 TMUs, and 64 ROPs, meaning the M60 has more than double the shader count and double the texture and pixel resources. Pixel rate for the T1000 is 44.64 GPixel/s, while the M60 delivers 75.39 GPixel/s. Texture rate is 78.12 GTexel/s for the T1000 and 150.8 GTexel/s for the M60. FP32 throughput favors the M60 at 4.825 TFLOPS versus 2.500 TFLOPS, nearly double. The T1000 does have a recorded FP16 rate of 5.000 TFLOPS (2:1), while the M60 has no FP16 figure listed.

Power and physical specifications also diverge sharply. The T1000 has a 50 W TDP, is single-slot, requires no power connectors, and suggests a 250 W PSU. The M60 has a 300 W TDP, is dual-slot, requires a single 8-pin connector, and suggests a 700 W PSU. The T1000 measures 156 mm in length and 69 mm in height, while the M60 is 267 mm long. The T1000 has 4x mini-DisplayPort 1.4a outputs, while the M60 has no display outputs at all. Both use PCIe 3.0 x16.

Architecture Differences

The T1000 is built on the Turing architecture, specifically the Quadro Turing generation (Tx000), using the TU117 chip. The M60 uses the Maxwell 2.0 architecture, belonging to the Tesla Maxwell generation (Mxx), with the GM204 chip. These are two entirely different design generations from NVIDIA, which explains the substantial differences in feature support and efficiency.

The manufacturing process is a major divider. The T1000 is fabricated on TSMC's 12 nm node, while the M60 uses TSMC's 28 nm node. The T1000 achieves a transistor density of 23.5 million per mm² compared to the M60's 13.1 million per mm², even though the M60 has more total transistors, 5,200 million versus 4,700 million. The newer process node gives the T1000 a significant efficiency advantage, which is reflected in its 50 W TDP versus the M60's 300 W TDP.

Neither card has ray tracing cores or tensor cores, so both rely on traditional shader-based compute. The M60 compensates for its older architecture with raw resource counts, offering 2048 shading units against the T1000's 896, which explains its higher FP32 throughput. However, the T1000's higher clock speeds, 1065 MHz base and 1395 MHz boost versus 557 MHz base and 1178 MHz boost for the M60, narrow the gap in real-world workloads. The T1000 also supports FP16 at 5.000 TFLOPS, a feature the M60 does not list, which can benefit workloads that use mixed-precision arithmetic.

Both cards support DirectX 12 (12_1), OpenGL 4.6, and Vulkan 1.4, so API compatibility is identical. The T1000 was released in May 2021, while the M60 came out in August 2015, making the M60 nearly six years older. Both are end-of-life products. The T1000's predecessor is Quadro Volta and its successor is Workstation Ampere. The M60's predecessor is Tesla Kepler and its successor is Tesla Pascal.

The Verdict

The data points to one clear conclusion: the NVIDIA T1000 8 GB is the better performer in the shared benchmark. It leads the Tesla M60 by 9.8% in Geekbench Vulkan, scores 34561 against 31473, and holds a higher percentile ranking at 79 versus 75. For any workload that uses Vulkan, the T1000 is the stronger choice.

The T1000 also wins on efficiency and practicality. Its 50 W TDP is dramatically lower than the M60's 300 W, it requires no power connectors, and it fits in a single slot at 156 mm length. The M60 needs a dual-slot design, a single 8-pin connector, a 700 W suggested PSU, and measures 267 mm. The T1000 also provides display outputs, 4x mini-DisplayPort 1.4a, while the M60 offers none, making the T1000 usable in workstation environments that require monitor connectivity.

The M60 does have strengths in raw compute resources. Its 2048 shading units, 128 TMUs, and 64 ROPs give it higher theoretical pixel rate, texture rate, and FP32 throughput than the T1000. These specifications suggest the M60 might be better suited for compute-heavy tasks that can utilize its higher shader count and memory bus width. However, the database shows no benchmark where the M60 actually outperforms the T1000, so this advantage remains theoretical rather than demonstrated.

For users who need a card with modern architecture, lower power draw, display outputs, and proven Vulkan performance, the T1000 is the obvious pick. For users who prioritize raw shader throughput and can tolerate a much higher power envelope, the M60 offers higher FP32 and texture rates on paper, but the recorded data does not show it winning any comparison. The T1000's 9.8% lead in the head-to-head, combined with its efficiency and feature set, makes it the recommended choice for most scenarios. The M60's only advantage lies in its unverified compute specifications, which do not translate into a benchmark win in this database.