NVIDIA GeForce GTX 465 vs NVIDIA Tesla M10 Comparison

# FAQ

Q: Which GPU has the higher average benchmark score?

A: The NVIDIA Tesla M10 averages 9724 across its benchmark results, while the NVIDIA GeForce GTX 465 averages 9294. The Tesla M10 sits at the 47th percentile of all GPUs, compared to the GTX 465's 46th percentile.

Q: How do the two compare in the only head-to-head test available?

A: In Geekbench OpenCL, the Tesla M10 scores 10318 against the GTX 465's 9294, giving the Tesla M10 an 11% advantage. This is the sole direct benchmark comparison in the data, and the Tesla M10 wins it.

Q: What are the closest rivals to the Tesla M10?

A: The Tesla M10's nearest competitors include the NVIDIA Tesla C2070 (average score 9716, just 0.1% behind), the NVIDIA GeForce GTX 1070 (9780, 0.6% ahead), the NVIDIA Quadro P4000 (9665, 0.6% behind), and the AMD Radeon Pro WX 2100 (9653, 0.7% behind).

Q: What about the GTX 465's closest competition?

A: The GTX 465 is bracketed by the NVIDIA GeForce GTX 850M (9302, 0.1% ahead), the AMD Radeon R7 M380 (9313, 0.2% ahead), the NVIDIA GeForce GTX 960 (9273, 0.2% behind), and the AMD Radeon Vega 8 (9221, 0.8% behind).

Q: Which card has the higher memory capacity?

A: The Tesla M10 comes with 8 GB of GDDR5 memory on a 128-bit bus, whereas the GTX 465 has 1024 MB (1 GB) of GDDR5 on a 256-bit bus. Despite the narrower bus, the Tesla M10's much larger frame buffer is a significant differentiator.

Q: Do both cards support DirectX 12?

A: Yes, both report DirectX 12 (11_0) support. They also both support OpenGL 4.6. However, the Tesla M10 lists Vulkan 1.4 support, while the GTX 465 has no Vulkan entry in the data.

# Architecture Differences

The Tesla M10 and GTX 465 come from fundamentally different eras of NVIDIA's GPU design, and the specifications reflect that gap. The Tesla M10 is built on the Maxwell architecture using the GM107 chip, fabricated on a 28 nm process at TSMC. It packs 1,870 million transistors into a 148 mm² die, yielding a transistor density of 12.6 million per square millimeter. The GTX 465, by contrast, uses the Fermi architecture with the GF100 chip on a 40 nm process, also at TSMC. That chip contains 3,100 million transistors spread across a much larger 529 mm² die, but the older process means a lower density of just 5.9 million transistors per square millimeter.

The compute resources differ sharply. The Tesla M10 has 640 shading units, 40 texture mapping units, and 16 ROPs. The GTX 465 has 352 shading units, 44 TMUs, and 32 ROPs. While the GTX 465 has more texture units and double the ROP count, the Tesla M10's shading unit advantage is substantial. Clock behavior also diverges: the Tesla M10 has a base clock of 1033 MHz and a boost clock of 1306 MHz, while the GTX 465 has no listed base or boost clock in the data. Memory clocks tell a similar story — the Tesla M10 runs at 1300 MHz (5.2 Gbps effective), while the GTX 465 runs at 802 MHz (3.2 Gbps effective).

The Tesla M10 is a compute-focused card with no display outputs, while the GTX 465 provides 2x DVI and 1x mini-HDMI 1.3a outputs. The Tesla M10 uses a PCIe 3.0 x16 interface; the GTX 465 uses PCIe 2.0 x16. Both are dual-slot cards, but the Tesla M10 is longer at 267 mm (10.5 inches) versus 241 mm (9.5 inches) for the GTX 465. Power requirements are similar: both have a 550 W suggested PSU, with the Tesla M10 drawing 225 W TDP and the GTX 465 drawing 200 W. The Tesla M10 uses a single 8-pin power connector, while the GTX 465 needs two 6-pin connectors.

Architecturally, the Maxwell generation in the Tesla M10 was designed for better compute efficiency per watt, while Fermi in the GTX 465 was an early NVIDIA attempt at tessellation-heavy DirectX 11 workloads. The Tesla M10 also follows the Tesla Kepler line and precedes Tesla Pascal, whereas the GTX 465 follows GeForce 200 and precedes GeForce 500.

# Head-to-Head Benchmarks

Only one direct benchmark comparison exists between these two cards, and it is decisive. In Geekbench OpenCL, the Tesla M10 scores 10318, while the GTX 465 scores 9294. That is an 11% margin in favor of the Tesla M10. To put that in context, the GTX 465's score is roughly in line with its nearest rivals — the GTX 850M at 9302 and the Radeon R7 M380 at 9313 — while the Tesla M10's score edges out the Tesla C2070 by just 0.1% and trails the GTX 1070 by only 0.6%.

The 11% delta is meaningful because the two cards occupy similar percentile territory overall — 47th for the Tesla M10 versus 46th for the GTX 465 — yet the Tesla M10's raw compute advantage in this test is clear. The Tesla M10 also has a second benchmark result, a Geekbench Vulkan score of 9130, which the GTX 465 cannot match because it has no Vulkan support listed. That absence is itself a competitive factor: the Tesla M10 can be evaluated across both OpenCL and Vulkan workloads, while the GTX 465's data is limited to OpenCL only.

Beyond the head-to-head, the average benchmark scores tell a consistent story. The Tesla M10's average of 9724 is 430 points higher than the GTX 465's 9294, a 4.6% gap. In the context of their nearest rivals, the Tesla M10 sits comfortably in the middle of a cluster of cards scoring between 9653 and 9780, while the GTX 465 sits in a slightly lower cluster between 9221 and 9313. Neither card is a standout in its peer group, but the Tesla M10 is consistently ahead of the GTX 465 by a margin that would be noticeable in compute workloads.

# Specification Differences

The specification sheet reveals where these two cards diverge most sharply. The Tesla M10's memory capacity is 8 GB versus 1024 MB for the GTX 465 — an eightfold difference. However, the GTX 465 counters with a 256-bit memory bus versus 128-bit, and higher memory bandwidth at 102.7 GB/s versus 83.20 GB/s. The memory types are the same (GDDR5), but the bus width and capacity trade-off is stark.

Clock speeds favor the Tesla M10. It has a base clock of 1033 MHz and a boost of 1306 MHz, while the GTX 465 has no base or boost clock listed. Memory clock also favors the Tesla M10 at 1300 MHz (5.2 Gbps effective) versus 802 MHz (3.2 Gbps effective). Shading units favor the Tesla M10 at 640 versus 352, but the GTX 465 has more TMUs (44 versus 40) and double the ROPs (32 versus 16). Pixel rate favors the Tesla M10 at 20.90 GPixel/s versus 13.38 GPixel/s, and texture rate also favors it at 52.24 GTexel/s versus 26.75 GTexel/s. FP32 compute is 1.672 TFLOPS for the Tesla M10 versus 855.4 GFLOPS for the GTX 465.

Power and physical specs differ. The Tesla M10 has a higher TDP at 225 W versus 200 W, but both recommend a 550 W PSU. The Tesla M10 uses a single 8-pin connector, the GTX 465 uses two 6-pin connectors. The Tesla M10 is longer (267 mm versus 241 mm). The Tesla M10 has no display outputs; the GTX 465 has 2x DVI and 1x mini-HDMI 1.3a. Bus interface differs: PCIe 3.0 x16 versus PCIe 2.0 x16. API support is similar for DirectX and OpenGL, but the Tesla M10 adds Vulkan 1.4. Release dates are six years apart: the Tesla M10 launched in May 2016, the GTX 465 in May 2010. The GTX 465 has a listed launch MSRP of 279 USD; the Tesla M10 has no launch MSRP in the data.

# Where Each One Wins

The Tesla M10 wins on raw compute throughput. Its FP32 rating of 1.672 TFLOPS is nearly double the GTX 465's 855.4 GFLOPS. It also leads in pixel rate (20.90 versus 13.38 GPixel/s) and texture rate (52.24 versus 26.75 GTexel/s). For any workload that stresses shading units or general compute — such as OpenCL-based tasks, scientific simulation, or machine learning inference — the Tesla M10's 640 shading units and higher clocks give it a clear edge. The 8 GB memory capacity is another major win, especially for datasets that exceed 1 GB, which would force the GTX 465 to spill or stall. The Tesla M10 also has Vulkan support, opening it to modern compute APIs that the GTX 465 cannot access.

The GTX 465 has a few narrow advantages. Its memory bandwidth is higher at 102.7 GB/s versus 83.20 GB/s, which helps in bandwidth-bound workloads that fit within its 1 GB frame buffer. Its wider 256-bit bus and double the ROP count (32 versus 16) could benefit certain rasterization tasks, though its lower pixel rate suggests the ROP advantage does not translate to overall throughput. The GTX 465 also has display outputs, making it usable as a video output card, whereas the Tesla M10 is compute-only. Its shorter length (241 mm versus 267 mm) and lower TDP (200 W versus 225 W) make it marginally easier to fit and cool in a standard desktop chassis.

In terms of benchmark wins, the data is unambiguous: the Tesla M10 wins the only head-to-head test and has the higher average score by 430 points. The GTX 465's percentile ranking is just one point lower (46 versus 47), so the gap is not enormous, but it is consistent across every measured metric except memory bandwidth and ROP count.

# The Verdict

The data points to the NVIDIA Tesla M10 as the stronger card for compute-oriented tasks. It wins the sole head-to-head benchmark by 11%, has a higher average score (9724 versus 9294), and offers nearly double the FP32 throughput. The 8 GB memory capacity is a decisive advantage for anyone working with large datasets, and Vulkan support adds future-proofing that the GTX 465 simply lacks. If your priority is OpenCL or Vulkan compute performance, the Tesla M10 is the clear choice.

The GTX 465 is not without merit, but its strengths are narrower. The higher memory bandwidth (102.7 GB/s) and wider bus are useful for specific bandwidth-bound workloads, and the display outputs make it a functional GPU for systems that need video output. Its lower TDP and shorter length are minor practical advantages. However, its 1 GB memory capacity is a severe limitation for modern workloads, and its lack of Vulkan support excludes it from a growing range of applications.

Who should pick which? If you need a compute accelerator with substantial memory and modern API support, the Tesla M10 is the only reasonable option here. If you need a legacy GPU with display outputs for a basic system or a bandwidth-sensitive task that fits in 1 GB, the GTX 465 could serve, but its age and lower compute throughput make it a niche pick. The benchmark results, the architecture differences, and the specification sheet all point the same way: the Tesla M10 is the better GPU for virtually any workload that can use it.