AMD Radeon RX 7650 GRE vs NVIDIA GeForce RTX 5070 Ti Comparison
AMD Radeon RX 7650 GRE
GeForce RTX 5070 Ti
PERFORMANCE BENCHMARKS
Analysis: AMD Radeon RX 7650 GRE vs NVIDIA GeForce RTX 5070 Ti
The GeForce RTX 5070 Ti and Radeon RX 7650 GRE occupy vastly different tiers of the graphics card market, separated by a wide gulf in price, power, and raw compute resources. The data presents a stark contrast: the NVIDIA card is positioned in the high-end enthusiast segment, while the AMD card targets the mainstream. Benchmark results show a decisive performance advantage for the RTX 5070 Ti, but the RX 7650 GRE’s lower power draw and compact size suggest it is engineered for a completely different use case. This analysis explores where each card wins, what the architectural differences mean, and which user profile aligns with each product.
Where Each One Wins
The performance split is unambiguous. The NVIDIA GeForce RTX 5070 Ti wins both of the head-to-head benchmark tests listed, with no wins recorded for the AMD Radeon RX 7650 GRE. This is not a close contest; the data shows a dominant performance gap. The RTX 5070 Ti is the clear choice for raw performance in demanding workloads, particularly those leveraging DirectX 12 and compute APIs. Its benchmark scores place it in the 86th percentile of all GPUs, indicating it is a top-tier performer.
The Radeon RX 7650 GRE, despite its loss in raw performance, still holds its own in the broader market. Its 83rd percentile ranking is respectable, and its average benchmark score of 42723 places it in the same performance bracket as the NVIDIA GeForce RTX 4070 SUPER, which scores 43223 and is only 1.2% faster. This suggests the AMD card is a capable mainstream solution, but it is not designed to compete at the level of the RTX 5070 Ti. The wins for the RX 7650 GRE would come in scenarios prioritizing efficiency and physical footprint, not absolute frame rates. Its 170 W TDP is nearly half the 300 W TDP of the NVIDIA card, making it a fit for smaller builds with less demanding power supply requirements.
Architecture Differences
The two cards are built on fundamentally different architectures, nodes, and design philosophies. The RTX 5070 Ti uses the GB203 chip based on the Blackwell 2.0 architecture, manufactured on a 5 nm process at TSMC. In contrast, the RX 7650 GRE uses the Navi 33 chip based on RDNA 3.0, manufactured on a larger 6 nm node, also by TSMC. The transistor counts reflect a massive difference in scale: the NVIDIA chip contains 45,600 million transistors on a 378 mm² die, while the AMD chip has just 13,300 million transistors on a smaller 204 mm² die. This results in a transistor density of 120.6M / mm² for the RTX 5070 Ti versus 65.2M / mm² for the RX 7650 GRE.
The memory subsystems also diverge significantly. The RTX 5070 Ti features 16 GB of GDDR7 memory on a 256-bit bus, delivering 896.0 GB/s of bandwidth. The RX 7650 GRE has 8 GB of GDDR6 memory on a 128-bit bus, providing 288.0 GB/s. This means the NVIDIA card has double the memory capacity and over three times the bandwidth, which is critical for high-resolution textures and compute workloads. In terms of compute units, the RTX 5070 Ti has 8960 shading units, 280 TMUs, and 96 ROPs, along with 70 RT cores and 280 tensor cores. The RX 7650 GRE has 2048 shading units, 128 TMUs, and 64 ROPs, with 32 RT cores and no tensor cores listed. The absence of tensor cores on the AMD card is a key architectural differentiator, affecting AI-accelerated features.
Head-to-Head Benchmarks
The two available head-to-head benchmark results show an overwhelming victory for the NVIDIA GeForce RTX 5070 Ti. In the 3DMark Steel Nomad DX12 test, the RTX 5070 Ti scores 6604, while the RX 7650 GRE scores 2336. This represents a delta of 182.7%, meaning the NVIDIA card is nearly three times faster in this specific DirectX 12 workload. This test is indicative of modern gaming performance, and the gap is massive.
The second benchmark, Geekbench OpenCL, shows a similar trend. The RTX 5070 Ti scores 212363, while the RX 7650 GRE scores 83109. The delta here is 155.5%, confirming that the NVIDIA card’s advantage extends to general-purpose compute tasks. The RTX 5070 Ti also has additional benchmark scores in other tests, such as PassMark G3D (32974) and Geekbench Vulkan (225122), which are not available for the AMD card. While these are not direct comparisons, they reinforce the NVIDIA card’s high-end positioning. The data clearly shows that the RTX 5070 Ti is in a different performance class, making the RX 7650 GRE a more sensible choice only when budget and power constraints are paramount.
FAQ
Q: Which card is faster in 3DMark Steel Nomad DX12?
A: The NVIDIA GeForce RTX 5070 Ti is significantly faster, scoring 6604 compared to the AMD Radeon RX 7650 GRE’s 2336, a 182.7% advantage.
Q: What is the memory capacity difference?
A: The RTX 5070 Ti has 16 GB of GDDR7 memory, while the RX 7650 GRE has 8 GB of GDDR6 memory. The NVIDIA card also has a wider 256-bit bus compared to the 128-bit bus on the AMD card.
Q: How do their power requirements compare?
A: The RTX 5070 Ti has a TDP of 300 W and a suggested PSU of 700 W, whereas the RX 7650 GRE has a TDP of 170 W and a suggested PSU of 450 W.
Q: Is the RX 7650 GRE comparable to any NVIDIA card in average score?
A: Yes, the RX 7650 GRE’s average benchmark score of 42723 is only 1.2% lower than the NVIDIA GeForce RTX 4070 SUPER’s average score of 43223.
Q: What are the process nodes for each GPU?
A: The RTX 5070 Ti is built on a 5 nm process, while the RX 7650 GRE uses a 6 nm process. Both are manufactured by TSMC.
Q: Does the RX 7650 GRE have tensor cores?
A: No, the data lists tensor cores as null for the AMD Radeon RX 7650 GRE, while the RTX 5070 Ti features 280 tensor cores.
Specification Differences
The specification sheet reveals a comprehensive list of differences between the two cards. The RTX 5070 Ti has a higher base clock of 2295 MHz and a boost clock of 2452 MHz, compared to the RX 7650 GRE’s base clock of 1720 MHz and boost clock of 2695 MHz. While the AMD card has a higher boost clock, the NVIDIA card’s superior architecture and core count deliver far better real-world performance. The memory clock also differs, with the RTX 5070 Ti running at 1750 MHz (28 Gbps effective) and the RX 7650 GRE at 2250 MHz (18 Gbps effective).
The RTX 5070 Ti has more shading units (8960 vs 2048), TMUs (280 vs 128), and ROPs (96 vs 64). It also has more RT cores (70 vs 32). The pixel rate and texture rate are higher on the NVIDIA card, at 235.4 GPixel/s and 686.6 GTexel/s respectively, versus 172.5 GPixel/s and 345.0 GTexel/s for the AMD card. FP32 performance is 43.94 TFLOPS for the RTX 5070 Ti and 22.08 TFLOPS for the RX 7650 GRE. The NVIDIA card uses a PCIe 5.0 x16 interface, while the AMD card uses PCIe 4.0 x8. The RTX 5070 Ti is longer at 304 mm and taller at 137 mm, compared to 204 mm and 115 mm for the RX 7650 GRE. Finally, the power connectors differ, with the RTX 5070 Ti requiring a 16-pin connector and the RX 7650 GRE using a standard 8-pin connector.
The Verdict
The data points to a clear conclusion: the NVIDIA GeForce RTX 5070 Ti is for users who demand maximum performance and are willing to pay for it. Its benchmark scores are in a different league, and its 16 GB of GDDR7 memory and 896.0 GB/s bandwidth make it suitable for high-resolution gaming and professional compute tasks. The 86th percentile ranking confirms its position among the top GPUs. This card is for the enthusiast who prioritizes frame rates and compute power above all else.
The AMD Radeon RX 7650 GRE, on the other hand, is for a different audience. Its 83rd percentile ranking is still strong, and its performance is comparable to an NVIDIA GeForce RTX 4070 SUPER, making it a solid mainstream option. However, its true strengths lie in its efficiency and size. With a 170 W TDP and a compact 204 mm length, it fits into smaller builds with lower power requirements. The 8 GB of memory and 288.0 GB/s bandwidth are adequate for 1080p and some 1440p gaming, but they cannot match the headroom of the RTX 5070 Ti. The choice is not about which is better in absolute terms, but which is better for a specific user’s needs and system constraints. The data shows a performance king and an efficiency-focused contender.