NVIDIA Tesla M4 vs NVIDIA TITAN Xp Comparison

Head-to-Head Benchmarks

The recorded database contains exactly one direct head-to-head benchmark between the NVIDIA TITAN Xp and the NVIDIA Tesla M4: the Geekbench OpenCL test. The TITAN Xp delivers a score of 72,585, while the Tesla M4 scores 16,932. That translates to a delta of 328.7%, meaning the TITAN Xp is more than four times faster in raw compute throughput for this workload. This is a decisive win for the TITAN Xp, and it is the only shared measurement available, so the comparison rests entirely on this single data point.

Context from the nearest rivals helps interpret the magnitude. The TITAN Xp's average benchmark score across all recorded tests is 19,177, which places it just 0.1% ahead of the NVIDIA GeForce GTX 780 (19,164) and 0.5% ahead of the NVIDIA Tesla K20m (19,089). The Tesla M4's average score is 16,932, which is 0.5% behind the AMD Radeon HD 7970M (17,019) and 0.6% behind the NVIDIA GeForce GTX 690 (17,037). So while the TITAN Xp sits in a performance tier near those older desktop cards, the Tesla M4 sits in a noticeably lower tier, closer to entry-level workstation or mobile-class parts.

The percentile data reinforces the gap. The TITAN Xp ranks in the 64th percentile among all GPUs in the database, while the Tesla M4 ranks in the 60th percentile. That is a modest overall percentile difference, but the OpenCL result shows how far apart they are in a compute-specific scenario. The TITAN Xp's 328.7% lead is not a marginal edge; it is a generational and class-level chasm.

FAQ

Q: Which GPU wins the only direct benchmark comparison?

A: The NVIDIA TITAN Xp wins the Geekbench OpenCL test with a score of 72,585 versus 16,932 for the NVIDIA Tesla M4, a delta of 328.7% in favor of the TITAN Xp.

Q: How does the TITAN Xp compare to its nearest rivals in average score?

A: The TITAN Xp's average benchmark score is 19,177. It is 0.1% ahead of the NVIDIA GeForce GTX 780 (19,164), 0.5% ahead of the NVIDIA Tesla K20m (19,089), 0.7% ahead of the NVIDIA GeForce RTX 4050 Mobile (19,049), and 0.7% ahead of the AMD Radeon RX 6600 (19,036).

Q: How does the Tesla M4 fare against its nearest rivals?

A: The Tesla M4's average score is 16,932. It trails the AMD Radeon HD 7970M (17,019) by 0.5%, trails the NVIDIA GeForce GTX 690 (17,037) by 0.6%, and trails the AMD Radeon RX 7600 XT (17,083) by 0.9%. It leads the NVIDIA T400 4 GB (16,792) by 0.8%.

Q: What is the percentile ranking for each GPU?

A: The TITAN Xp is in the 64th percentile of all GPUs in the database. The Tesla M4 is in the 60th percentile.

Q: Are there more benchmark results for the Tesla M4?

A: The database records only one benchmark result for the Tesla M4, the Geekbench OpenCL score of 16,932. The TITAN Xp has ten recorded benchmark entries, including Passmark and 3DMark tests.

Q: Which GPU has a higher pixel and texture rate?

A: The TITAN Xp has a pixel rate of 151.9 GPixel/s and a texture rate of 379.7 GTexel/s. The Tesla M4 has a pixel rate of 34.30 GPixel/s and a texture rate of 68.61 GTexel/s.

Architecture Differences

The two GPUs come from different NVIDIA architectures and process nodes. The TITAN Xp is built on the Pascal architecture using the GP102 chip, fabricated on TSMC's 16 nm process. The Tesla M4 uses the Maxwell 2.0 architecture with the GM206 chip, fabricated on TSMC's 28 nm process. This process difference is significant: the TITAN Xp packs 11,800 million transistors onto a 471 mm² die, yielding a transistor density of 25.1 million per mm². The Tesla M4 has 2,940 million transistors on a 228 mm² die, with a density of 12.9 million per mm². The TITAN Xp has roughly four times the transistor count and more than double the density.

The compute resources diverge accordingly. The TITAN Xp has 3,840 shading units, 240 texture mapping units, and 96 ROPs. The Tesla M4 has 1,024 shading units, 64 TMUs, and 32 ROPs. That is a 3.75x difference in shader count, a 3.75x difference in TMUs, and a 3x difference in ROPs. The TITAN Xp also has a much higher FP32 throughput at 12.15 TFLOPS versus 2.195 TFLOPS for the Tesla M4. The TITAN Xp has a nominal FP16 rate of 189.8 GFLOPS (with a 1:64 ratio), while the Tesla M4 has no recorded FP16 capability.

Memory subsystems are also fundamentally different. The TITAN Xp uses 12 GB of GDDR5X on a 384-bit bus, delivering 547.6 GB/s of bandwidth at an effective memory clock of 11.4 Gbps. The Tesla M4 uses 4 GB of GDDR5 on a 128-bit bus, delivering 88.00 GB/s of bandwidth at 5.5 Gbps effective. The TITAN Xp's memory bandwidth is more than six times higher. Clock speeds also favor the TITAN Xp: a base clock of 1405 MHz and boost of 1582 MHz, versus 872 MHz base and 1072 MHz boost for the Tesla M4.

Power and physical design differ sharply. The TITAN Xp has a 250 W TDP, is dual-slot, requires both a 6-pin and an 8-pin power connector, and suggests a 600 W PSU. The Tesla M4 has a 50 W TDP, is single-slot, has no power connectors listed, and suggests a 250 W PSU. The TITAN Xp has display outputs (1x HDMI 2.0 and 3x DisplayPort 1.4a), while the Tesla M4 has no display outputs, indicating its purpose as a compute-only accelerator. The TITAN Xp measures 267 mm in length, 112 mm in height, and 40 mm in width; the Tesla M4 has no recorded dimensions.

Both GPUs support DirectX 12 (12_1), OpenGL 4.6, and Vulkan 1.4 per the database, and both use a PCIe 3.0 x16 bus interface. The TITAN Xp is from the GeForce 10 generation, released in April 2017, with a predecessor of GeForce 900 and a successor of GeForce 20. The Tesla M4 is from the Tesla Maxwell (Mxx) generation, released in November 2015, with a predecessor of Tesla Kepler and a successor of Tesla Pascal. Both are marked as end-of-life in production status.

The Verdict

The data points to a clear separation of roles and capabilities. The NVIDIA TITAN Xp is the dominant performer in every measured category that overlaps: compute, memory bandwidth, pixel throughput, texture throughput, and shading resources. Its 328.7% lead in Geekbench OpenCL is the single most telling statistic, as it reflects a wholesale advantage in general-purpose GPU compute. The TITAN Xp should be the choice for workloads that demand high FP32 throughput, large memory capacity, and wide memory bandwidth. Its 12 GB GDDR5X frame buffer and 547.6 GB/s bandwidth make it suitable for large datasets and high-resolution rendering, while its 12.15 TFLOPS FP32 rate supports heavy compute tasks.

The Tesla M4 is a different class of device entirely. Its 50 W TDP and single-slot design, with no power connectors, point to a low-power, space-constrained deployment scenario. It has no display outputs, confirming its role as a dedicated compute or server-side accelerator rather than a graphics card. Its 4 GB memory and 88.00 GB/s bandwidth are modest, and its 2.195 TFLOPS FP32 rate is roughly one-sixth of the TITAN Xp's. However, the Tesla M4's power efficiency is notable: it delivers those figures within a 50 W envelope, which is one-fifth the TITAN Xp's 250 W TDP. For environments where power draw and physical footprint are the primary constraints, the Tesla M4 offers a viable path to accelerated compute without the need for external power connectors or a large chassis.

The percentile rankings are close (64th versus 60th), but that metric includes all recorded GPUs and does not weight for compute-specific workloads. In the benchmark that matters most for direct comparison, the TITAN Xp is in a different league. The average scores tell a similar story: 19,177 versus 16,932, a gap of about 13%. That is a meaningful difference, though not as dramatic as the OpenCL delta, because the TITAN Xp's average includes multiple Passmark tests where its performance is more moderate relative to other GPUs.

Who should pick which? The TITAN Xp is the choice for any task where raw compute, memory bandwidth, and shading capability are the bottlenecks. It is also the only one of the two with display outputs, so it can serve as a graphics card for interactive work. The Tesla M4 is the choice for embedded or rack-mounted systems where power draw, cooling, and slot space are paramount. It cannot drive a display, so it is not a substitute for a desktop GPU. The data does not support a single "winner"; it supports two distinct tools for two distinct jobs. The TITAN Xp wins on performance, the Tesla M4 wins on efficiency and form factor. The recorded benchmarks show no scenario where the Tesla M4 outperforms the TITAN Xp, but the TITAN Xp's advantages come at a cost in power and size that the Tesla M4 avoids entirely.

Specification Differences

The following fields differ between the two GPUs, per the database:

• Architecture: Pascal (TITAN Xp) versus Maxwell 2.0 (Tesla M4)
• Chip: GP102 versus GM206
• Generation: GeForce 10 versus Tesla Maxwell (Mxx)
• Process node: 16 nm versus 28 nm
• Transistors: 11,800 million versus 2,940 million
• Die size: 471 mm² versus 228 mm²
• Transistor density: 25.1M / mm² versus 12.9M / mm²
• Base clock: 1405 MHz versus 872 MHz
• Boost clock: 1582 MHz versus 1072 MHz
• Memory clock: 1426 MHz / 11.4 Gbps effective versus 1375 MHz / 5.5 Gbps effective
• Memory size: 12 GB versus 4 GB
• Memory type: GDDR5X versus GDDR5
• Memory bus width: 384 bit versus 128 bit
• Memory bandwidth: 547.6 GB/s versus 88.00 GB/s
• Shading units: 3840 versus 1024
• TMUs: 240 versus 64
• ROPs: 96 versus 32
• Pixel rate: 151.9 GPixel/s versus 34.30 GPixel/s
• Texture rate: 379.7 GTexel/s versus 68.61 GTexel/s
• FP32: 12.15 TFLOPS versus 2.195 TFLOPS
• FP16: 189.8 GFLOPS (1:64) versus null (not recorded)
• TDP: 250 W versus 50 W
• Slot width: Dual-slot versus Single-slot
• Power connectors: 1x 6-pin + 1x 8-pin versus none listed
• Suggested PSU: 600 W versus 250 W
• Display outputs: 1x HDMI 2.0, 3x DisplayPort 1.4a versus no outputs
• Dimensions: 267 mm x 112 mm x 40 mm versus not recorded
• Release date: 2017-04-05 versus 2015-11-09
• Predecessor: GeForce 900 versus Tesla Kepler
• Successor: GeForce 20 versus Tesla Pascal
• Launch MSRP: 1,199 USD versus null (not disclosed)