AMD Radeon R7 M465 vs NVIDIA GeForce GT 1010 Comparison

Where Each One Wins

The benchmark data records a single head-to-head comparison between these two mobile-class graphics parts, and the result is unambiguous: the NVIDIA GeForce GT 1010 wins the only measured test, the Geekbench OpenCL benchmark. The GT 1010 posts a score of 6698 against the AMD Radeon R7 M465's 5841, giving NVIDIA a 14.7% advantage in the one test where both were measured. That is the entirety of the win column for the GT 1010, and it is also the entirety of the win column for the R7 M465, which records zero wins in the head-to-head data.

Looking beyond the direct comparison, the percentile rankings place these two cards in different tiers. The GT 1010 sits at the 38th percentile among all GPUs, while the R7 M465 sits at the 33rd percentile. That five-point gap in percentile ranking reflects a meaningful separation in raw compute performance, even though both cards are firmly in the entry-level segment. The GT 1010's nearest rivals include the AMD Radeon R7 M370 (average score 6764, delta -1%), the AMD Radeon R7 M460 (average score 6612, delta +1.3%), the AMD Radeon HD 7730M (average score 6581, delta +1.8%), and the AMD FirePro M5100 (average score 6830, delta -1.9%). The R7 M465's nearest rivals are the AMD Radeon R5 M435 (average score 5859, delta -0.3%), the Intel UHD Graphics 730 (average score 5929, delta -1.5%), the NVIDIA GeForce GTX 550 Ti (average score 5731, delta +1.9%), and the AMD Radeon HD 8730M (average score 5955, delta -1.9%).

For a builder choosing between these two, the GT 1010 is the straightforward pick for raw computational throughput. The R7 M465 does not win any measured category, so there is no benchmark-derived reason to prefer it for compute-heavy tasks. However, the R7 M465 does have architectural traits that matter in specific use cases, particularly its higher shading unit count and texture unit count, which could make it more responsive in certain driver-optimized workloads even if the recorded OpenCL score does not reflect that. The data, though, only shows one test, and that test favors NVIDIA.

FAQ

Q: Which GPU has the higher Geekbench OpenCL score?

A: The NVIDIA GeForce GT 1010 scores 6698, while the AMD Radeon R7 M465 scores 5841. The GT 1010 leads by 14.7% in this test.

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

A: The GT 1010 is nearly level with the AMD Radeon R7 M370 (delta -1%), slightly ahead of the R7 M460 (+1.3%) and HD 7730M (+1.8%), but trails the FirePro M5100 (-1.9%). The R7 M465 is roughly level with the R5 M435 (-0.3%), behind the Intel UHD Graphics 730 (-1.5%) and HD 8730M (-1.9%), but ahead of the GeForce GTX 550 Ti (+1.9%).

Q: Do both cards support DirectX 12?

A: Yes, but at different feature levels. The GT 1010 supports DirectX 12 (12_1), while the R7 M465 supports DirectX 12 (12_0).

Q: What is the memory configuration on each card?

A: Both cards have 2 GB of GDDR5 memory on a 64-bit bus. The GT 1010 has a memory clock of 1502 MHz (6 Gbps effective) and bandwidth of 48.06 GB/s. The R7 M465 has a memory clock of 1125 MHz (4.5 Gbps effective) and bandwidth of 36.00 GB/s.

Q: Which card has more shading units?

A: The AMD Radeon R7 M465 has 384 shading units, while the NVIDIA GeForce GT 1010 has 256. Despite this, the GT 1010 still wins the OpenCL benchmark.

Q: What is the production status of these GPUs?

A: Both are listed as end-of-life products.

Head-to-Head Benchmarks

The only recorded head-to-head benchmark is Geekbench OpenCL, and it shows a clear victory for the NVIDIA GeForce GT 1010. The GT 1010 scores 6698, the R7 M465 scores 5841, and the delta is 14.7% in NVIDIA's favor. This is not a marginal difference; it is a substantial gap for two cards that occupy similar entry-level positioning. The GT 1010's score is high enough to place it within 1% of the AMD Radeon R7 M370 (6764) and within 1.8% of the AMD Radeon HD 7730M (6581), while the R7 M465's score sits just 0.3% above the AMD Radeon R5 M435 (5859) and 1.9% above the NVIDIA GeForce GTX 550 Ti (5731).

What makes this result interesting is the underlying hardware mismatch. The R7 M465 has more shading units (384 vs 256), more texture mapping units (24 vs 16), and a higher FP32 throughput in theory (786.4 GFLOPS vs 751.6 GFLOPS). Yet the GT 1010 still wins by a wide margin. The likely explanation lies in the clock speeds: the GT 1010 runs at a base clock of 1228 MHz with a boost of 1468 MHz, while the R7 M465 runs at 730 MHz base and 1024 MHz boost. The GT 1010's much higher clocks, combined with its newer Pascal architecture and significantly faster memory bandwidth (48.06 GB/s vs 36.00 GB/s), overcome the R7 M465's raw unit count advantage. The GT 1010 also has a higher pixel rate (11.74 GPixel/s vs 8.192 GPixel/s), though the R7 M465 edges out the GT 1010 in texture rate (24.58 GTexel/s vs 23.49 GTexel/s).

The single-test nature of the data means there is no multi-game or multi-application spread to analyze. But for the one metric recorded, the GT 1010 is the definitive winner, and the margin is wide enough that it would likely translate to real-world OpenCL compute workloads.

Specification Differences

The two cards differ across nearly every major specification category. The NVIDIA GeForce GT 1010 is built on a 14 nm process at Samsung, while the AMD Radeon R7 M465 uses a 28 nm process at TSMC. The GT 1010 packs 1,800 million transistors into a 74 mm² die, giving a transistor density of 24.3M per mm². The R7 M465 has 1,550 million transistors on a 125 mm² die, for a density of 12.4M per mm². The GT 1010's process advantage is clear: nearly twice the transistor density on a much smaller die.

Clock speeds differ substantially. The GT 1010 has a base clock of 1228 MHz and a boost clock of 1468 MHz. The R7 M465 has a base clock of 730 MHz and a boost of 1024 MHz. Memory clocks also favor NVIDIA: 1502 MHz (6 Gbps effective) on the GT 1010 versus 1125 MHz (4.5 Gbps effective) on the R7 M465. Memory bandwidth follows, with the GT 1010 at 48.06 GB/s and the R7 M465 at 36.00 GB/s.

The compute unit counts are reversed. The R7 M465 has 384 shading units and 24 texture mapping units, while the GT 1010 has 256 shading units and 16 TMUs. Both have 8 ROPs. Pixel rate favors NVIDIA (11.74 GPixel/s vs 8.192 GPixel/s), texture rate slightly favors AMD (24.58 GTexel/s vs 23.49 GTexel/s), and FP32 throughput slightly favors AMD (786.4 GFLOPS vs 751.6 GFLOPS). The R7 M465 also supports FP16 at a 1:1 ratio (786.4 GFLOPS), while the GT 1010 has no recorded FP16 figure.

Power and physical specifications differ as well. The GT 1010 has a TDP of 30 W, a suggested PSU of 200 W, is single-slot, uses no power connectors, and measures 147 mm (5.8 inches) in length. The R7 M465 has no recorded TDP, PSU requirement, slot width, power connector, or dimension data. The GT 1010 uses a PCIe 3.0 x4 interface and offers display outputs of 1x DVI and 1x mini-HDMI 2.0. The R7 M465 uses a PCIe 3.0 x8 interface and has no recorded display outputs.

API support differs in DirectX and Vulkan versions. The GT 1010 supports DirectX 12 (12_1) and Vulkan 1.4, while the R7 M465 supports DirectX 12 (12_0) and Vulkan 1.2.170. Both support OpenGL 4.6. Release dates are far apart: the GT 1010 launched in January 2021, while the R7 M465 launched in May 2016.

Architecture Differences

The architectural gap between these two GPUs is generational. The NVIDIA GeForce GT 1010 is based on the GP108 chip using the Pascal architecture, part of the GeForce 10 generation. Pascal was designed for efficiency and high clock speeds on a mature 14 nm process, and the GT 1010's boost clock of 1468 MHz reflects that design philosophy. The chip packs 1,800 million transistors into just 74 mm², which is an exceptionally dense layout for its era.

The AMD Radeon R7 M465 uses the Topaz chip with GCN 3.0 architecture, part of the Gem System (R7 M400) generation. GCN 3.0 was designed for compute-heavy workloads, which explains the higher shading unit count (384) and TMU count (24). But the 28 nm TSMC process is older and less efficient, and the chip's 1,550 million transistors spread across 125 mm² means lower density and higher power draw for comparable performance. The GCN architecture's strength is raw parallel throughput, but the R7 M465's low base clock of 730 MHz limits its real-world execution.

The memory subsystems differ in a way that directly affects performance. Both use 2 GB of GDDR5 on a 64-bit bus, but the GT 1010 runs its memory at 1502 MHz (6 Gbps effective) for 48.06 GB/s bandwidth, while the R7 M465 runs at 1125 MHz (4.5 Gbps effective) for 36.00 GB/s. That is a 33% bandwidth advantage for NVIDIA, and bandwidth is often the limiting factor for entry-level GPUs with narrow buses.

The GT 1010 also benefits from a more modern API feature set. DirectX 12 (12_1) support includes features that the R7 M465's DirectX 12 (12_0) lacks, and Vulkan 1.4 versus 1.2.170 indicates a more current driver stack. The GT 1010's PCIe 3.0 x4 interface is narrower than the R7 M465's x8, but for a card with this level of bandwidth, the x4 link is unlikely to bottleneck in most workloads.

The Verdict

The data points to one conclusion: the NVIDIA GeForce GT 1010 is the faster GPU. It wins the only recorded head-to-head benchmark by 14.7%, and its percentile ranking (38th vs 33rd) confirms that it sits above the R7 M465 in the overall GPU hierarchy. The GT 1010's higher clock speeds, faster memory, and newer architecture more than compensate for the R7 M465's advantages in shading unit count and theoretical FP32 throughput.

For a builder who needs OpenCL compute performance, the GT 1010 is the clear choice. Its nearest rival comparisons show it trading blows with cards like the R7 M370 and R7 M460, while the R7 M465 sits in a lower performance tier alongside the R5 M435 and Intel UHD Graphics 730. The GT 1010 also offers better API support, a lower power draw (30 W TDP), and a compact single-slot design, making it easier to integrate into small or power-constrained systems.

The R7 M465 is not without merit. It has more shading units and TMUs, a slightly higher FP32 throughput, and FP16 support at a 1:1 ratio. For workloads that are specifically optimized for GCN architecture and can leverage those extra units, it might perform better than the OpenCL score suggests. But the recorded data does not show any such workload, and the single benchmark where both were measured goes decisively to NVIDIA.

The practical advice is simple: if you are choosing between these two for a system that will run OpenCL-based tasks, pick the GT 1010. If you have a specific workload that favors AMD's GCN compute architecture, the R7 M465 could be worth testing, but the default recommendation from the database is NVIDIA. The GT 1010 is the newer part, the faster part, and the one with a cleaner specification sheet across power, memory, and API support.