AMD Radeon R7 M380 vs NVIDIA Tesla C2075 Comparison

The Verdict

The recorded benchmark data points to a clear but narrow victory for the NVIDIA Tesla C2075. In the single head-to-head OpenCL test available, the Tesla C2075 scores 10,400 against the AMD Radeon R7 M380’s 9,313, a lead of 11.7%. The Tesla also sits at the 48th percentile among all GPUs in the database, two points above the R7 M380’s 46th percentile. For users whose workloads are dominated by OpenCL compute, the Tesla C2075 is the stronger option. The R7 M380, however, remains competitive for scenarios that favor its newer architecture features, particularly Vulkan support, though its raw compute score trails. Neither part is a modern flagship; both are end-of-life products, so the choice hinges on specific software requirements rather than generational prestige.

Architecture Differences

The two GPUs come from different design philosophies and manufacturing eras. The NVIDIA Tesla C2075 uses the GF110 chip, built on Fermi 2.0 architecture at a 40 nm process node from TSMC. It packs 3,000 million transistors onto a 520 mm² die, yielding a transistor density of 5.8M per mm². The AMD Radeon R7 M380 uses the Tropo chip, built on GCN 1.0 architecture at a 28 nm node, also from TSMC. It contains 1,500 million transistors on a much smaller 123 mm² die, giving it a higher density of 12.2M per mm². The process advantage is clear: AMD fits half the transistor count into less than a quarter of the silicon area.

Core configurations differ substantially. The Tesla C2075 has 448 shading units, 56 texture mapping units, and 48 ROPs. The R7 M380 counters with 640 shading units, 40 TMUs, and only 16 ROPs. Despite having fewer shading units, the Tesla’s higher ROP count and wider memory bus offset some of that deficit. The Tesla’s memory subsystem is built around 6 GB of GDDR5 on a 384-bit bus, delivering 150.3 GB/s of bandwidth. The R7 M380 uses 4 GB of DDR3 on a 128-bit bus, producing just 32.00 GB/s. That is a massive bandwidth gap: roughly 4.7 times in favor of the Tesla.

Clock behavior also differs. The R7 M380 has a base clock of 900 MHz and a boost clock of 915 MHz. The Tesla C2075 has no base or boost clock listed in the database, only a memory clock of 783 MHz (3.1 Gbps effective). Feature support splits along architectural lines: the Tesla supports DirectX 12 (11_0) and OpenGL 4.6, but has no Vulkan entry. The R7 M380 supports DirectX 12 (11_1), OpenGL 4.6, and Vulkan 1.2.170. For software stacks that require Vulkan, the R7 M380 is the only choice between the two.

Head-to-Head Benchmarks

The database contains a single head-to-head result: Geekbench OpenCL. The NVIDIA Tesla C2075 scores 10,400, while the AMD Radeon R7 M380 scores 9,313. The Tesla wins by 11.7%. That margin is meaningful in the context of their nearest rivals. The Tesla’s closest competitors in the database are the AMD Radeon RX 6500M (10,362, only 0.4% behind), the AMD Radeon RX 550X (10,481, 0.8% ahead), the NVIDIA GeForce GTX 950A (10,273, 1.2% behind), and the AMD Radeon R9 M275X (10,582, 1.7% ahead). So the Tesla sits in a tight cluster of mid-range parts, all within roughly 2% of each other. Its 11.7% advantage over the R7 M380 is far larger than any of these rival gaps, meaning the R7 M380 is not just slightly behind, it is in a distinctly lower performance tier.

The R7 M380’s nearest rivals confirm that positioning. The NVIDIA GeForce GTX 850M scores 9,302 (0.1% behind), the NVIDIA GeForce GTX 465 scores 9,294 (0.2% behind), the NVIDIA GeForce GTX 960 scores 9,273 (0.4% behind), and the AMD Radeon Vega 8 scores 9,221 (1% behind). All of these are within a single percentage point of the R7 M380, placing it in a separate, lower performance band than the Tesla. The benchmark results indicate that the Tesla C2075 is competitive with significantly newer mainstream GPUs, while the R7 M380 aligns with older or lower-tier mobile parts.

Looking at the raw compute throughput, the numbers align with the benchmark. The Tesla C2075 delivers 1,027.7 GFLOPS of FP32 compute, while the R7 M380 delivers 1,171.2 GFLOPS. The R7 M380 actually has a 14% higher theoretical FP32 peak, yet it loses the OpenCL test by 11.7%. This suggests that memory bandwidth plays a decisive role: the Tesla’s 150.3 GB/s versus the R7 M380’s 32.00 GB/s is a 4.7-fold difference, and real-world OpenCL kernels are likely memory-bound. The pixel rate also favors the Tesla (16.07 GPixel/s vs 14.64 GPixel/s), though the texture rate favors the R7 M380 (36.60 GTexel/s vs 32.14 GTexel/s).

FAQ

Q: Which GPU has the higher OpenCL benchmark score?

A: The NVIDIA Tesla C2075 scores 10,400 in Geekbench OpenCL, while the AMD Radeon R7 M380 scores 9,313. The Tesla leads by 11.7%.

Q: Does the AMD Radeon R7 M380 support Vulkan?

A: Yes, the R7 M380 supports Vulkan 1.2.170. The NVIDIA Tesla C2075 has no Vulkan support listed in the database.

Q: What is the memory bandwidth difference between the two?

A: The Tesla C2075 has 150.3 GB/s bandwidth from 6 GB of GDDR5 on a 384-bit bus. The R7 M380 has 32.00 GB/s from 4 GB of DDR3 on a 128-bit bus. The Tesla’s bandwidth is approximately 4.7 times higher.

Q: Which GPU has more shading units?

A: The AMD Radeon R7 M380 has 640 shading units, while the NVIDIA Tesla C2075 has 448.

Q: Are both GPUs still in production?

A: No, both are listed as end-of-life in the database. The Tesla C2075 was released in 2011, and the R7 M380 was released in 2015.

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

A: The Tesla C2075 is within 2% of its closest rivals (RX 6500M, RX 550X, GTX 950A, R9 M275X). The R7 M380 is within 1% of its closest rivals (GTX 850M, GTX 465, GTX 960, Vega 8), but that entire cluster sits about 10-12% below the Tesla’s cluster.

Where Each One Wins

The NVIDIA Tesla C2075 wins in scenarios that demand high memory bandwidth and substantial VRAM capacity. Its 6 GB of GDDR5 on a 384-bit bus provides 150.3 GB/s, which is critical for large datasets, high-resolution textures, or compute kernels that stream data heavily. The higher ROP count (48 vs 16) and pixel rate (16.07 GPixel/s vs 14.64 GPixel/s) also favor rasterization-heavy workloads. The Tesla’s 1,027.7 GFLOPS FP32 output, while lower than the R7 M380’s theoretical peak, proves more effective in the actual OpenCL benchmark, likely due to the memory advantage. For users targeting OpenCL compute with large working sets, the Tesla is the clear pick.

The AMD Radeon R7 M380 wins in scenarios that require modern API support. Its Vulkan 1.2.170 compatibility opens the door to a broad range of current Vulkan-based applications and games, which the Tesla cannot run at all. The R7 M380 also has a higher FP32 theoretical peak (1,171.2 GFLOPS) and a higher texture rate (36.60 GTexel/s vs 32.14 GTexel/s), which could benefit shader-heavy or texture-bound workloads that do not depend on memory bandwidth. Its 28 nm process and smaller die (123 mm²) suggest better efficiency per transistor, though no TDP is listed for the R7 M380 to confirm power behavior. For software stacks that mandate Vulkan, the R7 M380 is the only functional option.

Specification Differences

The two GPUs differ across nearly every major specification field. The NVIDIA Tesla C2075 uses the GF110 chip with Fermi 2.0 architecture, fabricated on a 40 nm process at TSMC, containing 3,000 million transistors on a 520 mm² die. The AMD Radeon R7 M380 uses the Tropo chip with GCN 1.0 architecture, fabricated on a 28 nm process at TSMC, containing 1,500 million transistors on a 123 mm² die. Transistor density differs: 5.8M / mm² for the Tesla, 12.2M / mm² for the R7 M380.

Memory configurations are sharply different. The Tesla has 6 GB of GDDR5 on a 384-bit bus with 150.3 GB/s bandwidth and a memory clock of 783 MHz (3.1 Gbps effective). The R7 M380 has 4 GB of DDR3 on a 128-bit bus with 32.00 GB/s bandwidth and a memory clock of 1000 MHz (2 Gbps effective). The Tesla’s shading units number 448, TMUs 56, and ROPs 48. The R7 M380 has 640 shading units, 40 TMUs, and 16 ROPs.

Compute rates diverge: the Tesla delivers 16.07 GPixel/s pixel rate, 32.14 GTexel/s texture rate, and 1,027.7 GFLOPS FP32. The R7 M380 delivers 14.64 GPixel/s, 36.60 GTexel/s, and 1,171.2 GFLOPS FP32. The Tesla has a TDP of 247 W, a dual-slot width, 1x 6-pin + 1x 8-pin power connectors, and a suggested PSU of 550 W. The R7 M380 has no TDP, slot width, power connector, or PSU data listed. The Tesla uses a PCIe 2.0 x16 interface and has one DVI display output. The R7 M380 uses PCIe 3.0 x16, with no display outputs listed. API support differs: both support DirectX 12 (Tesla at 11_0, R7 M380 at 11_1) and OpenGL 4.6, but only the R7 M380 lists Vulkan 1.2.170. The Tesla measures 248 mm in length (9.8 inches); the R7 M380 has no dimensions recorded.