AMD Radeon R7 350 vs NVIDIA GeForce RTX 5070 Ti SUPER Comparison

FAQ

Q: How do the two cards compare in raw compute performance?

A: The AMD Radeon R7 350 delivers 819.2 GFLOPS of FP32 throughput, while the NVIDIA GeForce RTX 5070 Ti SUPER achieves 43.94 TFLOPS. This represents a 53-fold difference in raw floating-point capability, reflecting two generations separated by nearly a decade of architectural progress.

Q: What are the memory specifications of each card?

A: The R7 350 uses 2 GB of GDDR5 over a 128-bit bus, yielding 72.00 GB/s of bandwidth. The RTX 5070 Ti SUPER uses 16 GB of GDDR7 over a 256-bit bus, delivering 896.0 GB/s, which is roughly 12.4 times higher bandwidth.

Q: Which card has better API support?

A: The R7 350 supports DirectX 12 (11_1), OpenGL 4.6, and Vulkan 1.2.170. The RTX 5070 Ti SUPER supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4, making it more forward-compatible with modern graphics features.

Q: How do their benchmark scores compare?

A: The R7 350 has an average benchmark score of 7425 across Geekbench OpenCL (7792) and Vulkan (7057) tests. The RTX 5070 Ti SUPER has a single recorded 3DMark Steel Nomad DX12 score of 6269.5, giving it an average of 6270. These tests measure different workloads, so direct comparison is not straightforward.

Q: What is the physical size difference?

A: The R7 350 is a single-slot card measuring 168 mm (6.6 inches) in length with no power connectors. The RTX 5070 Ti SUPER is a dual-slot card measuring 304 mm (12 inches) in length, 137 mm (5.4 inches) in height, and 48 mm (1.9 inches) in width, requiring a 16-pin power connector.

Q: What are the production statuses of these GPUs?

A: The R7 350 is marked as end-of-life, released on 2016-07-05. The RTX 5070 Ti SUPER is active, with a release date of 2025-12-31. The newer card has a launch MSRP of 749 USD.

Architecture Differences

The architectural gap between these two GPUs is immense. The AMD Radeon R7 350 uses the Cape Verde chip built on GCN 1.0 architecture, manufactured on a 28 nm TSMC process. It integrates 1,500 million transistors on a 123 mm² die, yielding a transistor density of 12.2M per mm². The GCN 1.0 design dates back to the Pirate Islands generation, a lineage that prioritized raw shader throughput over specialized compute units.

The NVIDIA GeForce RTX 5070 Ti SUPER uses the GB203 chip based on Blackwell 2.0 architecture, built on a 5 nm TSMC process. This chip packs 45,600 million transistors onto a 378 mm² die, achieving a transistor density of 120.6M per mm², roughly ten times denser than the older AMD chip. The Blackwell architecture introduces dedicated ray tracing cores and tensor cores, which the GCN 1.0 design lacks entirely. The RTX 5070 Ti SUPER has 70 RT cores and 280 tensor cores, enabling hardware-accelerated ray tracing and AI workloads that the R7 350 cannot handle through dedicated hardware.

The foundational compute units also differ drastically. The R7 350 has 512 shading units, 32 texture mapping units, and 16 raster output units. The RTX 5070 Ti SUPER has 8,960 shading units, 280 TMUs, and 96 ROPs. That is 17.5 times more shading units, 8.75 times more TMUs, and 6 times more ROPs. The pixel rate scales from 12.80 GPixel/s on the AMD card to 235.4 GPixel/s on the NVIDIA card, while texture rate jumps from 25.60 GTexel/s to 686.6 GTexel/s.

Memory architecture reflects a similar generational leap. The R7 350 uses GDDR5 memory clocked at 1125 MHz (4.5 Gbps effective) over a 128-bit bus. The RTX 5070 Ti SUPER uses GDDR7 memory clocked at 1750 MHz (28 Gbps effective) over a 256-bit bus. The newer memory type delivers dramatically higher bandwidth per pin, which is critical for high-resolution textures and ray-traced scenes.

The process node difference is also significant: 28 nm versus 5 nm. This allows the NVIDIA chip to pack 30 times more transistors while only tripling the die size. The power envelope reflects this: the R7 350 has a TDP of 55 W with no power connectors and a suggested PSU of 250 W, while the RTX 5070 Ti SUPER has a TDP of 350 W and requires a single 16-pin connector.

Head-to-Head Benchmarks

The database contains no direct head-to-head benchmark results between these two cards, and the win count stands at zero for each. This is expected given their extreme generational and market positioning. However, the recorded scores from separate test suites reveal the performance landscape.

The R7 350 achieves 7792 in Geekbench OpenCL and 7057 in Geekbench Vulkan. Its average score of 7425 places it at the 40th percentile among all GPUs in the database. Its nearest rivals include the Intel UHD Graphics 750 (avg 7441, delta -0.2%), AMD Radeon HD 8850M (avg 7447, delta -0.3%), NVIDIA GeForce GTX 1650 (avg 7472, delta -0.6%), and Intel Arc A310 (avg 7550, delta -1.7%). These deltas are all within 2% of the R7 350, indicating that its performance class is closely clustered around integrated and entry-level discrete GPUs.

The RTX 5070 Ti SUPER scores 6269.5 in 3DMark Steel Nomad DX12, with an average of 6270 and a 36th percentile ranking. Its nearest rivals are the NVIDIA GeForce RTX 4070 Ti SUPER AD102 (avg 6270, delta 0%), NVIDIA Quadro K620 (avg 6282, delta -0.2%), AMD FirePro W600 (avg 6223, delta 0.8%), and AMD Radeon R7 M350 (avg 6327, delta -0.9%). The delta of 0% against the RTX 4070 Ti SUPER AD102 is notable: the two cards are statistically indistinguishable in this synthetic workload.

The benchmark scores cannot be compared directly across suites because they measure different workload types. The R7 350's scores come from compute-oriented OpenCL and Vulkan tests, while the RTX 5070 Ti SUPER's score comes from a DirectX 12 rasterization test. What the data does show is that each card anchors a different performance tier: the R7 350 sits among integrated solutions, while the RTX 5070 Ti SUPER matches a previous-generation high-end card in its specific test.

Specification Differences

The two cards differ in nearly every measurable specification. The process node moves from 28 nm to 5 nm, both TSMC foundries. Transistor count rises from 1,500 million to 45,600 million, and die size expands from 123 mm² to 378 mm². Transistor density improves from 12.2M per mm² to 120.6M per mm².

Clock speeds show a similar shift. The R7 350 has no recorded base or boost clock, but its memory runs at 1125 MHz (4.5 Gbps effective). The RTX 5070 Ti SUPER has a base clock of 2295 MHz, boost clock of 2452 MHz, and memory at 1750 MHz (28 Gbps effective). Memory capacity increases from 2 GB to 16 GB, type changes from GDDR5 to GDDR7, bus width doubles from 128-bit to 256-bit, and bandwidth jumps from 72.00 GB/s to 896.0 GB/s.

Compute resources differ by an order of magnitude or more. Shading units go from 512 to 8,960. TMUs go from 32 to 280. ROPs go from 16 to 96. The RTX 5070 Ti SUPER adds 70 RT cores and 280 tensor cores, which have no counterpart on the R7 350. Pixel rate scales from 12.80 GPixel/s to 235.4 GPixel/s. Texture rate scales from 25.60 GTexel/s to 686.6 GTexel/s. FP32 throughput goes from 819.2 GFLOPS to 43.94 TFLOPS, and the NVIDIA card also supports FP16 at 43.94 TFLOPS (1:1), which the R7 350 does not record.

Power and physical specifications also diverge. TDP rises from 55 W to 350 W. Slot width changes from single-slot to dual-slot. The R7 350 requires no power connectors, while the RTX 5070 Ti SUPER uses a 16-pin connector. The suggested PSU for the R7 350 is 250 W; no suggested PSU is listed for the RTX 5070 Ti SUPER. Card length grows from 168 mm (6.6 inches) to 304 mm (12 inches), with additional height and width dimensions recorded only for the newer card.

Bus interface moves from PCIe 3.0 x16 to PCIe 5.0 x16. Display outputs change from 1x DVI, 1x HDMI 1.4a, 1x DisplayPort 1.2 to 1x HDMI 2.1b and 3x DisplayPort 2.1b. API support advances from DirectX 12 (11_1) and Vulkan 1.2.170 to DirectX 12 Ultimate (12_2) and Vulkan 1.4. OpenGL remains 4.6 for both. Production status shifts from end-of-life to active, and release dates span from 2016-07-05 to 2025-12-31.

Where Each One Wins

The R7 350 wins in power efficiency and physical footprint. Its 55 W TDP requires no auxiliary power connectors, and its single-slot, 168 mm length allows installation in compact cases where the RTX 5070 Ti SUPER would not physically fit. The suggested 250 W PSU makes it viable in legacy systems with modest power supplies. For users running legacy applications that rely on OpenCL or Vulkan compute, the R7 350's scores of 7792 and 7057 respectively show it can handle basic GPGPU workloads.

The RTX 5070 Ti SUPER wins decisively in raw performance and feature support. Its 43.94 TFLOPS FP32 throughput and 896.0 GB/s memory bandwidth place it in an entirely different performance class. The dedicated RT cores and tensor cores enable hardware ray tracing and AI acceleration, features absent on the R7 350. DirectX 12 Ultimate support and Vulkan 1.4 compatibility make it suitable for current and near-future titles. The 16 GB GDDR7 memory capacity supports high-resolution textures and large datasets that would exhaust the R7 350's 2 GB frame buffer.

The benchmark data positions each card differently. The R7 350 sits at the 40th percentile, clustered within 2% of integrated graphics and entry-level discrete cards like the Intel UHD Graphics 750 and NVIDIA GeForce GTX 1650. The RTX 5070 Ti SUPER sits at the 36th percentile, matching the RTX 4070 Ti SUPER AD102 exactly in Steel Nomad DX12. This suggests the newer card is positioned for high-end rasterization, while the older card is best suited for basic display output and light compute tasks.

In practical terms, the R7 350 wins in scenarios where power draw, physical size, and low system requirements are paramount. The RTX 5070 Ti SUPER wins in every performance-sensitive scenario: modern gaming, ray-traced workloads, AI inference, content creation, and any task that benefits from high memory bandwidth or massive parallel compute. The architectural gap, spanning seven years of process and design evolution, makes the RTX 5070 Ti SUPER the clear choice for demanding workloads, while the R7 350 remains viable only for legacy or low-power systems.