NVIDIA Quadro M6000 vs NVIDIA T1000 Comparison

Head-to-Head Benchmarks

The benchmark data delivers a clear verdict: the NVIDIA Quadro M6000 outperforms the NVIDIA T1000 in both recorded tests. The M6000 wins the Geekbench OpenCL test with a score of 39688 against 37704, a 5.3% advantage. The gap widens dramatically in the Vulkan test, where the M6000 scores 46913 versus 34874, a commanding 34.5% lead. Across the two head-to-head comparisons, the M6000 claims 2 wins while the T1000 secures none.

The OpenCL result shows a modest but consistent edge for the older Maxwell-based card. A 5.3% delta places the M6000 ahead in compute workloads that rely on OpenCL, though the margin suggests the T1000’s newer architecture narrows the gap in this specific API. The Vulkan result, however, is decisive. The M6000’s 34.5% advantage in Vulkan indicates a substantial performance differential in graphics-oriented tasks that leverage this modern API, a surprising outcome given the T1000’s newer Turing generation.

Comparing each card to its own nearest rivals provides additional context. The M6000’s average benchmark score is 43301, placing it at the 84th percentile among all GPUs. Its closest rival, the NVIDIA GeForce RTX 5050 Mobile, scores 43268, a negligible 0.1% difference. The M6000 also sits within 0.2% of the GeForce RTX 4070 SUPER (43223) and trails the GeForce RTX 4090 Mobile (43667) by just 0.8%. This cluster of results indicates the M6000 performs on par with modern high-end mobile and desktop GPUs, despite its age.

The T1000, by contrast, averages 36289, placing it at the 80th percentile. Its nearest rival, the AMD Radeon RX 5300M, scores 36529, a 0.7% deficit for the T1000. The NVIDIA GeForce GTX TITAN X also scores 36530, again 0.7% ahead of the T1000. Conversely, the T1000 leads the AMD Radeon Pro Duo (35860) by 1.2% and the NVIDIA Quadro GV100 (35520) by 2.2%. These figures show the T1000 operating in a lower performance tier, clustered with older flagship gaming cards and lower-end mobile parts.

The raw specifications corroborate the benchmark hierarchy. The M6000 delivers 6.844 TFLOPS of FP32 compute, while the T1000 manages 2.500 TFLOPS. The M6000’s pixel rate is 106.9 GPixel/s versus 44.64 GPixel/s for the T1000. Texture rates tell a similar story: 213.9 GTexel/s for the M6000 against 78.12 GTexel/s for the T1000. These figures translate directly into the benchmark outcomes, with the M6000’s raw throughput driving its superior scores.

Where Each One Wins

The Quadro M6000 wins in every recorded benchmark category. Its OpenCL advantage of 5.3% makes it the stronger choice for general-purpose compute workloads that use this API, such as scientific simulations, data processing, and certain rendering tasks. The Vulkan result, with its 34.5% lead, extends the M6000’s dominance to graphics-intensive applications that support Vulkan, including modern game engines, real-time visualization, and CAD viewport rendering.

The T1000 does not win any benchmark in the database. However, its specification sheet reveals strengths not captured by the two recorded tests. The T1000 supports FP16 compute at 5.000 TFLOPS (2:1 ratio), a feature the M6000 lacks entirely, as its FP16 field is null. This makes the T1000 potentially more suitable for workloads that leverage half-precision arithmetic, such as certain machine learning inference tasks or image processing pipelines optimized for FP16. The T1000 also uses GDDR6 memory with 10 Gbps effective speed, whereas the M6000 uses GDDR5 at 6.6 Gbps effective, though the M6000’s wider 384-bit bus yields far higher total bandwidth (317.4 GB/s versus 160.0 GB/s).

For users prioritizing raw compute and graphics performance, the M6000 is the clear winner. For those who need FP16 support, lower power consumption (50 W versus 250 W), or a smaller physical footprint (single-slot versus dual-slot), the T1000 offers advantages that benchmark scores alone do not convey. The T1000’s 4 GB memory capacity, while smaller than the M6000’s 12 GB, may suffice for lighter workloads, and its four mini-DisplayPort 1.4a outputs exceed the M6000’s single DVI and four DisplayPort 1.2 connections in terms of modern display connectivity.

FAQ

Q: Which card has the higher average benchmark score?

A: The NVIDIA Quadro M6000 averages 43301 across its recorded benchmarks, placing it at the 84th percentile of all GPUs. The NVIDIA T1000 averages 36289, at the 80th percentile.

Q: How large is the performance gap in Vulkan workloads?

A: The M6000 scores 46913 in Geekbench Vulkan, which is 34.5% higher than the T1000’s 34874. This is the largest performance difference between the two cards in any recorded test.

Q: Does the T1000 win in any benchmark?

A: No. The database records 2 wins for the M6000 and 0 wins for the T1000 in head-to-head comparisons. The T1000’s closest result is a 5.3% deficit in OpenCL.

Q: How does each card compare to its nearest rivals?

A: The M6000 is effectively tied with the GeForce RTX 5050 Mobile (0.1% ahead) and the GeForce RTX 4070 SUPER (0.2% ahead), while trailing the GeForce RTX 4090 Mobile by 0.8%. The T1000 trails the AMD Radeon RX 5300M and GeForce GTX TITAN X by 0.7% each, but leads the Radeon Pro Duo by 1.2% and the Quadro GV100 by 2.2%.

Q: What are the memory specifications of each card?

A: The M6000 has 12 GB of GDDR5 memory on a 384-bit bus, delivering 317.4 GB/s bandwidth. The T1000 has 4 GB of GDDR6 memory on a 128-bit bus, delivering 160.0 GB/s bandwidth.

Q: Which card supports FP16 compute?

A: Only the T1000 supports FP16, rated at 5.000 TFLOPS (2:1 ratio). The M6000 has no recorded FP16 capability.

Specification Differences

The two cards differ across nearly every major specification. The M6000 uses a larger and more powerful configuration: 3072 shading units, 192 texture mapping units, and 96 ROPs, compared to the T1000’s 896 shading units, 56 TMUs, and 32 ROPs. Clock speeds also differ, with the M6000 running at 988 MHz base and 1114 MHz boost, while the T1000 runs at 1065 MHz base and 1395 MHz boost. Despite the T1000’s higher clocks, the M6000’s massive core count delivers superior throughput.

Memory configurations diverge sharply. The M6000 offers 12 GB of GDDR5 on a 384-bit bus with 317.4 GB/s bandwidth. The T1000 offers 4 GB of GDDR6 on a 128-bit bus with 160.0 GB/s bandwidth. Memory clock speeds reflect the generational difference: the M6000’s memory runs at 1653 MHz (6.6 Gbps effective), while the T1000’s runs at 1250 MHz (10 Gbps effective). The M6000’s wider bus more than compensates for the T1000’s faster per-pin speed.

Power and physical specifications differ substantially. The M6000 has a 250 W TDP, requires a dual-slot cooler, uses a single 8-pin power connector, and needs a 600 W suggested PSU. The T1000 has a 50 W TDP, fits in a single slot, requires no power connectors, and needs only a 250 W suggested PSU. Dimensions follow suit: the M6000 measures 267 mm by 111 mm, while the T1000 measures 156 mm by 69 mm. Display outputs also differ, with the M6000 providing 1x DVI and 4x DisplayPort 1.2, while the T1000 provides 4x mini-DisplayPort 1.4a.

Architecture Differences

The M6000 is built on NVIDIA’s Maxwell 2.0 architecture, using the GM200 chip fabricated on a 28 nm process at TSMC. This chip contains 8,000 million transistors on a 601 mm² die, yielding a transistor density of 13.3M per mm². The T1000 uses the Turing architecture with the TU117 chip on a 12 nm process, also at TSMC. This smaller chip contains 4,700 million transistors on a 200 mm² die, achieving a higher transistor density of 23.5M per mm².

The generational divide is clear: the M6000 belongs to the Quadro Maxwell (Mx000) generation and was released on 2015-03-20, while the T1000 belongs to the Quadro Turing (Tx000) generation and was released on 2021-05-05. The M6000’s predecessor is Quadro Kepler and its successor is Quadro Pascal. The T1000’s predecessor is Quadro Volta and its successor is Workstation Ampere. Both cards support DirectX 12 (12_1), OpenGL 4.6, and Vulkan 1.4, so API compatibility is identical despite the architectural differences.

The M6000’s Maxwell architecture prioritizes raw rasterization throughput, reflected in its high pixel and texture rates. The T1000’s Turing architecture introduces newer features such as FP16 support at 2:1 ratio, which Maxwell does not offer. However, neither card includes ray tracing cores or tensor cores; both fields are null in the database. The M6000’s larger die and transistor count suggest a design focused on maximum parallel compute, while the T1000’s smaller, denser chip reflects a later manufacturing process that emphasizes efficiency and modern features.

The Verdict

The data supports a straightforward conclusion: the NVIDIA Quadro M6000 is the faster card in every recorded benchmark. Its 5.3% OpenCL lead and 34.5% Vulkan lead make it the default choice for users who prioritize raw performance in compute or graphics workloads. The M6000’s 6.844 TFLOPS FP32 throughput, 317.4 GB/s memory bandwidth, and 12 GB capacity provide a substantial foundation for demanding professional applications. Its average score of 43301 places it at the 84th percentile, on par with modern GPUs like the GeForce RTX 4070 SUPER and RTX 5050 Mobile.

The NVIDIA T1000, while slower in these tests, offers distinct advantages that may matter in specific deployments. Its 50 W TDP and single-slot design make it suitable for compact workstations or systems with strict power and space constraints. The absence of external power connectors simplifies installation, and the 4 GB GDDR6 memory, while smaller, operates at higher effective speed. The T1000’s FP16 capability at 5.000 TFLOPS provides a path for half-precision workloads that the M6000 cannot handle. Its 80th percentile ranking, with a 36289 average score, still places it above many competing GPUs, including the Radeon Pro Duo and Quadro GV100.

For users choosing between these two, the decision hinges on workload priorities. If absolute compute and graphics performance are the primary requirements, the M6000 is the clear pick, offering a 34.5% advantage in Vulkan and a 5.3% edge in OpenCL. If power efficiency, compact size, modern display outputs, or FP16 support are more critical, the T1000 becomes the sensible option, accepting lower benchmark scores in exchange for these operational benefits. The M6000’s end-of-life status and older architecture do not diminish its benchmark dominance, but the T1000’s newer Turing design and feature set make it a more versatile choice for contemporary professional environments that value efficiency over peak throughput.