Intel Arc A570M vs NVIDIA Tesla M40 24 GB Comparison

FAQ

Q: Which GPU has the higher average benchmark score in the database?

A: The Intel Arc A570M has an average benchmark score of 58,239, while the NVIDIA Tesla M40 24 GB has an average score of 41,707. This places the Arc A570M at the 88th percentile of all GPUs, compared to the 83rd percentile for the Tesla M40.

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

A: In the Geekbench OpenCL test, the Intel Arc A570M scored 58,239 versus 37,439 for the NVIDIA Tesla M40 24 GB. The Arc A570M wins by 55.6%, a decisive margin.

Q: Which GPU offers more memory?

A: The NVIDIA Tesla M40 24 GB has 24 GB of GDDR5 memory on a 384-bit bus, providing 288.4 GB/s of bandwidth. The Intel Arc A570M has 8 GB of GDDR6 on a 128-bit bus, providing 224.0 GB/s.

Q: How do their power requirements differ?

A: The Intel Arc A570M has a TDP of 75 W and uses an integrated form factor (IGP). The NVIDIA Tesla M40 24 GB has a TDP of 250 W, requires an 8-pin EPS connector, and the database lists a suggested 600 W power supply.

Q: What are their production statuses and release dates?

A: The Intel Arc A570M is Active in production and was released in 2023-07-31. The NVIDIA Tesla M40 24 GB is End-of-life and was released in 2015-11-09.

Q: Which GPU has a higher raw pixel fill rate?

A: The NVIDIA Tesla M40 24 GB has a pixel rate of 106.8 GPixel/s, while the Intel Arc A570M has 83.20 GPixel/s. Similarly, the Tesla M40 has a texture rate of 213.5 GTexel/s versus 166.4 GTexel/s.

Where Each One Wins

The benchmark data indicates a clear split between the two cards. In the recorded Geekbench OpenCL test, the Intel Arc A570M is the decisive winner. Its score of 58,239 is 55.6 percent higher than the Tesla M40's 37,439. This suggests the Intel part holds a significant compute advantage in this workload.

However, the NVIDIA Tesla M40 24 GB counters in several architectural and capacity categories. Its memory subsystem is fundamentally larger: 24 GB versus 8 GB, with bandwidth of 288.4 GB/s versus 224.0 GB/s. For workloads that require massive frame buffers or high-bandwidth data movement, the Tesla M40 is the only option here.

The Tesla M40 also leads in raw rasterization throughput. Its pixel fill rate of 106.8 GPixel/s and texture fill rate of 213.5 GTexel/s both exceed the Intel Arc A570M's figures of 83.20 GPixel/s and 166.4 GTexel/s. Similarly, the Tesla M40's FP32 throughput of 6.832 TFLOPS is higher than the Arc A570M's 5.325 TFLOPS.

Thus, the Arc A570M wins in the measured compute benchmark, while the Tesla M40 wins on paper for memory capacity, memory bandwidth, fill rates, and peak FP32. The choice depends on whether the workload is bound by compute performance or by memory size and raster throughput.

Architecture Differences

The Intel Arc A570M is built on the Xe-HPG architecture, specifically using the DG2-256 chip. It is fabricated on a 6 nm process at TSMC, with 11,500 million transistors packed into a die size of 269 mm². This yields a transistor density of 42.8 million per mm². Its generation is listed as Alchemist (Arc 5 Mobile), and it belongs to the mobile segment.

In contrast, the NVIDIA Tesla M40 24 GB uses the Maxwell 2.0 architecture with the GM-200 chip. It is built on a 28 nm process at the same foundry, TSMC, with 8,000 million transistors on a much larger die of 601 mm². Its transistor density is significantly lower at 13.3 million per mm².

The Arc A570M has 16 dedicated ray tracing cores, while the Tesla M40 has none. The Arc A570M also supports a higher DirectX version: 12 Ultimate at feature level 12_2, versus DirectX 12 at 12_1 for the Tesla M40. Both cards support OpenGL 4.6 and Vulkan 1.4.

The Intel part supports FP16 arithmetic at a 2:1 ratio, with 10.65 TFLOPS of FP16 throughput. The Tesla M40 has no listed FP16 capability. The Arc A570M also has a more modern memory architecture: GDDR6 versus GDDR5, and a faster PCIe 4.0 x8 interface, while the Tesla M40 uses PCIe 3.0 x16.

Specification Differences

The two cards differ across nearly every specification. The Intel Arc A570M has 2,048 shading units, 128 TMUs, and 64 ROPs. The NVIDIA Tesla M40 24 GB has 3,072 shading units, 192 TMUs, and 96 ROPs, which explains its higher pixel and texture rates.

Clock speeds also differ. The Tesla M40 has a base clock of 948 MHz and a boost clock of 1,112 MHz. The Arc A570M clocks are set at 900 MHz base and 1,300 MHz boost. The Tesla M40's memory clock is 1,502 MHz (6 Gbps effective), while the Arc A570M runs at 1,750 MHz (14 Gbps effective).

Memory configuration is a major split. The Arc A570M has 8 GB of GDDR6 on a 128-bit bus, yielding 224.0 GB/s. The Tesla M40 has 24 GB of GDDR5 on a 384-bit bus, yielding 288.4 GB/s.

Physical and power specifications are also distinct. The Arc A570M is an integrated part with a 75 W TDP and no power connectors required. The Tesla M40 is a dual-slot card, 267 mm (10.5 inches) long, with a 250 W TDP and an 8-pin EPS power connector. It has no display outputs, while the Arc A570M's outputs are listed as portable device dependent.

Head-to-Head Benchmarks

The only direct comparison recorded in the database is the Geekbench OpenCL test. Here, the Intel Arc A570M scores 58,239, while the NVIDIA Tesla M40 24 GB scores 37,439. That is a delta of 55.6 percent in favor of the Intel card. This is the largest and only head-to-head win for the Arc A570M.

To put this in context, the Arc A570M's average score of 58,239 places it within a tight cluster of rivals. Its nearest competitor, the AMD Radeon RX 6950 XT, averages 58,392, which is only 0.3 percent higher. The Arc A570M is also within 0.7 percent of the AMD Radeon PRO V710 (58,657) and 0.5 percent of the NVIDIA P102-100 (58,528). The AMD Radeon RX 5600 OEM is 0.3 percent lower at 58,085.

The Tesla M40's average score of 41,707 is lower. Its nearest rival, the NVIDIA Tesla M40 (non-24 GB), averages 41,897, which is 0.5 percent higher. The NVIDIA GeForce RTX 3080 Ti scores 41,187, which is 1.3 percent lower. The AMD Radeon Pro 5300 is 2 percent lower at 40,870, while the AMD Radeon RX 7650 GRE is 2.4 percent higher at 42,723.

These numbers show that the Arc A570M is within a small margin of much higher-class GPUs in OpenCL, while the Tesla M40 sits in a lower performance tier. The 55.6 percent delta between the two cards is consistent with the gap in their average scores.

The Verdict

For compute workloads measured by Geekbench OpenCL, the Intel Arc A570M is the clear choice. It outperforms the Tesla M40 by 55.6 percent in the head-to-head test, and its average score is roughly 39.6 percent higher than the Tesla M40's average. The Arc A570M also achieves this with a far lower TDP of 75 W versus 250 W.

However, the NVIDIA Tesla M40 24 GB remains relevant for specific use cases. It provides 24 GB of GDDR5 memory, which is three times the Arc A570M's 8 GB. Its memory bandwidth of 288.4 GB/s is also higher. The Tesla M40 has higher pixel and texture fill rates, and higher pure FP32 throughput, at 6.832 TFLOPS versus 5.325 TFLOPS. For workloads that are memory-bound or rasterization-bound, the Tesla M40 offers more theoretical headroom.

The Tesla M40 is a dual-slot, 250 W card with no display outputs, designed for compute servers. It is end-of-life and based on a 28 nm process from 2015. The Arc A570M is an active, integrated mobile part on a 6 nm process from 2023, with modern features like ray tracing and DirectX 12 Ultimate.

Based on the data, the Intel Arc A570M should be chosen for general compute and OpenCL performance, especially where power efficiency and modern API support matter. The NVIDIA Tesla M40 24 GB should be chosen only when the 24 GB memory capacity or its specific raster throughput characteristics are required, and where its higher power draw and end-of-life status are acceptable. For every measured metric in the head-to-head, the Arc A570M is the faster GPU.