NVIDIA Quadro M6000 vs NVIDIA T1000 8 GB Comparison

Head-to-Head Benchmarks

The recorded database contains a single direct benchmark comparison between the NVIDIA Quadro M6000 and the NVIDIA T1000 8 GB, and the result is decisive. In the Geekbench Vulkan test, the Quadro M6000 scores 46,913 points, while the T1000 8 GB scores 34,561 points. That represents a 35.7% advantage for the older Maxwell-based card, a substantial margin that places the two products in clearly different performance tiers despite their shared workstation pedigree.

The Quadro M6000’s average benchmark score across all recorded tests is 43,301, which places it at the 84th percentile of all GPUs in the database. The T1000 8 GB, with only a single recorded Vulkan score, averages 34,561 and sits at the 79th percentile. The gap in percentile ranking, while narrower than the raw delta, still indicates that the M6000 outperforms roughly 84% of all GPUs, while the T1000 surpasses about 79%. For a workstation card released six years later, the T1000’s lower standing in the aggregate database is a meaningful signal.

Looking at the nearest rivals for each card reinforces the performance separation. The Quadro M6000’s closest competitor in the database is the NVIDIA GeForce RTX 5050 Mobile, which averages 43,268 points, a delta of just 0.1% against the M6000. The Quadro M6000 24 GB variant scores 43,262, again a 0.1% delta, and the GeForce RTX 4070 SUPER scores 43,223, a 0.2% delta. The only rival that edges ahead is the GeForce RTX 4090 Mobile at 43,667, which is 0.8% faster than the M6000. These are extraordinarily tight margins, meaning the M6000 sits in a performance cluster where small score differences separate cards from different generations and market segments.

The T1000 8 GB’s nearest rivals tell a different story. The AMD Radeon HD 7970 averages 34,541, a 0.1% delta, essentially matching the T1000. The NVIDIA A2 scores 34,690, which is 0.4% ahead of the T1000. The NVIDIA TITAN V averages 34,355, putting it 0.6% behind the T1000, and the NVIDIA RTX A1000 scores 34,207, a 1% deficit. The T1000 thus occupies a performance niche alongside older enthusiast cards and lower-tier workstation accelerators, whereas the M6000 competes with modern high-end mobile and desktop parts.

In the single head-to-head test, the M6000’s 35.7% lead is not merely a win; it is a dominant one. The T1000 would need a substantial architectural or clock advantage to close that gap, and the data shows it does not possess one. The M6000 wins the only recorded direct comparison, giving it a 1-0 record in the head-to-head category.

FAQ

Q: How large is the performance gap between the two cards in the only shared benchmark?

A: The Quadro M6000 scores 46,913 in Geekbench Vulkan, while the T1000 8 GB scores 34,561. The M6000 leads by 35.7%.

Q: Which card ranks higher among all GPUs in the database?

A: The Quadro M6000 sits at the 84th percentile, while the T1000 8 GB sits at the 79th percentile.

Q: What are the average benchmark scores for each card?

A: The Quadro M6000 has an average benchmark score of 43,301 across its recorded tests. The T1000 8 GB has an average of 34,561 from its single recorded test.

Q: How close is the T1000 to its nearest rival in the database?

A: The T1000’s closest rival is the AMD Radeon HD 7970, which scores 34,541, a delta of just 0.1%. The NVIDIA A2 is 0.4% ahead, and the NVIDIA TITAN V is 0.6% behind.

Q: Does the T1000 beat any of its nearest rivals?

A: Yes, the T1000 outperforms the NVIDIA TITAN V by 0.6% and the NVIDIA RTX A1000 by 1%. It trails the NVIDIA A2 by 0.4%.

Q: Which card wins the head-to-head comparison in the database?

A: The NVIDIA Quadro M6000 wins the only recorded head-to-head benchmark, the Geekbench Vulkan test, with a 35.7% advantage.

Architecture Differences

The two cards represent distinct architectural generations from NVIDIA, with the Quadro M6000 built on Maxwell 2.0 and the T1000 8 GB on Turing. This generational split drives most of the observable differences in compute capabilities, efficiency, and feature support.

The M6000 uses the GM200 chip, fabricated on a 28 nm process at TSMC. The die is 601 mm² and contains 8,000 million transistors, yielding a transistor density of 13.3 million per square millimeter. The T1000 uses the TU117 chip, built on a 12 nm process, also at TSMC. Its die is 200 mm² with 4,700 million transistors, giving a density of 23.5 million per square millimeter. The smaller, denser Turing chip packs more transistors per area, but the M6000’s much larger die provides a substantial raw resource advantage.

The M6000’s Maxwell architecture delivers 3,072 shading units, 192 texture mapping units, and 96 render output units. The T1000, by contrast, offers 896 shading units, 56 TMUs, and 32 ROPs. The M6000 therefore has roughly 3.4 times the shading units, 3.4 times the TMUs, and 3 times the ROPs. This resource disparity directly explains the M6000’s dominant Vulkan performance.

Neither card includes dedicated ray tracing cores or tensor cores. The M6000 predates those features, and the T1000, despite being a Turing product, is a low-end workstation part without RT or Tensor hardware. Both cards support DirectX 12 (12_1), OpenGL 4.6, and Vulkan 1.4, so API feature parity is complete.

The M6000’s Maxwell architecture outputs 106.9 GPixel/s in pixel rate and 213.9 GTexel/s in texture rate. The T1000 manages 44.64 GPixel/s and 78.12 GTexel/s. These fill rates confirm that the M6000’s larger memory bus and higher ROP count translate directly into throughput advantages. The M6000 also offers 6.844 TFLOPS of FP32 compute, while the T1000 provides 2.500 TFLOPS. Notably, the T1000 supports FP16 at 5.000 TFLOPS with a 2:1 ratio, a feature absent from the M6000’s recorded specifications.

The M6000’s memory subsystem uses GDDR5 with a 384-bit bus, delivering 317.4 GB/s of bandwidth across 12 GB of capacity. The T1000 uses GDDR6 with a 128-bit bus, providing 160.0 GB/s across 8 GB. The M6000’s bandwidth is nearly double the T1000’s, a critical factor for large workstation datasets. The M6000’s memory clock is 1653 MHz, or 6.6 Gbps effective, while the T1000 runs at 1250 MHz, or 10 Gbps effective. The T1000’s faster per-pin data rate does not compensate for its narrower bus.

Specification Differences

The two cards differ across nearly every core specification category. The process node is a clear generational marker: the M6000 uses 28 nm, the T1000 uses 12 nm. Transistor counts are 8,000 million for the M6000 versus 4,700 million for the T1000. Die size is 601 mm² versus 200 mm², and transistor density is 13.3M per mm² versus 23.5M per mm².

Clock speeds show the T1000’s newer process advantage. The M6000 has a base clock of 988 MHz and a boost clock of 1114 MHz. The T1000 starts at 1065 MHz and boosts to 1395 MHz. The T1000’s higher clocks, however, do not overcome the M6000’s massive compute resource advantage.

Memory capacity differs: the M6000 carries 12 GB of GDDR5, the T1000 carries 8 GB of GDDR6. Bus widths are 384-bit versus 128-bit. Memory bandwidth is 317.4 GB/s versus 160.0 GB/s. Effective memory speed is 6.6 Gbps for the M6000 and 10 Gbps for the T1000.

Shading units, TMUs, and ROPs all favor the M6000: 3,072 versus 896, 192 versus 56, and 96 versus 32, respectively. Pixel rate is 106.9 GPixel/s versus 44.64 GPixel/s, and texture rate is 213.9 GTexel/s versus 78.12 GTexel/s. FP32 compute is 6.844 TFLOPS versus 2.500 TFLOPS. The T1000 adds FP16 capability at 5.000 TFLOPS, which the M6000 lacks.

Power requirements diverge sharply. The M6000 has a 250 W TDP, requires a dual-slot cooler, uses a single 8-pin power connector, and suggests a 600 W PSU. The T1000 has a 50 W TDP, fits in a single slot, needs no power connector, and suggests a 250 W PSU. Physical dimensions also differ: the M6000 is 267 mm long and 111 mm tall, while the T1000 is 156 mm long and 69 mm tall.

Display outputs differ as well. The M6000 offers 1x DVI and 4x DisplayPort 1.2. The T1000 provides 4x mini-DisplayPort 1.4a. Both use PCIe 3.0 x16 interfaces. Release dates are far apart: the M6000 launched on 2015-03-20, the T1000 on 2021-05-05. The M6000’s predecessor is Quadro Kepler, its successor Quadro Pascal. The T1000’s predecessor is Quadro Volta, its successor Workstation Ampere. Both are marked as end-of-life products.

Where Each One Wins

The Quadro M6000 wins decisively in raw compute performance. Its 35.7% Vulkan lead over the T1000, combined with its 84th versus 79th percentile ranking, makes it the clear choice for workloads that demand high FP32 throughput, large memory bandwidth, and substantial fill rates. The M6000’s 6.844 TFLOPS of FP32 compute, 317.4 GB/s of memory bandwidth, and 106.9 GPixel/s pixel rate are all roughly double or triple the T1000’s corresponding figures. For rendering, simulation, or any GPU-compute task that scales with shading unit count, the M6000 is the stronger option.

The M6000 also wins in capacity. Its 12 GB frame buffer, while using older GDDR5, provides 50% more memory than the T1000’s 8 GB. For workloads that approach the 8 GB ceiling, the M6000’s additional capacity prevents out-of-memory failures or texture thrashing. The 384-bit bus also gives the M6000 a memory bandwidth advantage that matters for high-resolution textures, large scene graphs, or multi-display configurations.

The T1000 8 GB wins in efficiency and physical footprint. Its 50 W TDP is one-fifth of the M6000’s 250 W, and it requires no external power connector, only a 250 W PSU suggestion. The single-slot, 156 mm length and 69 mm height make it suitable for compact workstations or systems with limited space. The M6000’s dual-slot, 267 mm length and 111 mm height require more chassis room and a more robust power supply.

The T1000 also wins on memory technology and display connectivity. Its GDDR6 memory operates at 10 Gbps effective, a faster per-pin data rate than the M6000’s 6.6 Gbps GDDR5. The T1000’s four mini-DisplayPort 1.4a outputs support newer display standards compared to the M6000’s DisplayPort 1.2 outputs. For multi-monitor setups with modern high-resolution displays, the T1000 offers more current connectivity.

The T1000’s FP16 capability at 5.000 TFLOPS is a feature the M6000 lacks entirely. Workloads that leverage FP16 arithmetic, such as certain neural network inference or mixed-precision compute tasks, would find the T1000 functional where the M6000 has no recorded FP16 path. However, the T1000’s overall compute is still far below the M6000’s FP32 output, so the FP16 advantage is niche rather than decisive.

For raw workstation performance, the database points unambiguously to the Quadro M6000. For low-power, compact, or display-centric deployments, the T1000 8 GB offers a modern and efficient alternative. The 35.7% head-to-head gap, however, means that any task where the M6000 can operate within its power and space envelope will favor the older card.