AMD Radeon RX 9070 GRE vs NVIDIA RTX 4000 Ada Generation Comparison

The NVIDIA RTX 4000 Ada Generation and AMD Radeon RX 9070 GRE occupy nearly the same performance tier, with the data showing a 0.6% difference in average benchmark score. The RTX 4000 Ada edges ahead with an average score of 135,218 compared to 134,417 for the RX 9070 GRE. Both cards sit in the 97th percentile of all GPUs, placing them among the top performers in the database. The following analysis breaks down the architectural, benchmark, and specification differences between these two active products.

FAQ

Q: Which GPU has the higher average benchmark score?

A: The NVIDIA RTX 4000 Ada Generation leads with an average benchmark score of 135,218, while the AMD Radeon RX 9070 GRE scores 134,417, a difference of 0.6%.

Q: How do the two cards compare in the Geekbench OpenCL test?

A: The RTX 4000 Ada scores 146,593 in Geekbench OpenCL, outperforming the RX 9070 GRE’s 134,417 by 9.1%. The RTX 4000 Ada also has a Geekbench Vulkan score of 123,842, which the RX 9070 GRE does not have a recorded result for.

Q: What are the memory capacities and types for each card?

A: The RTX 4000 Ada features 20 GB of GDDR6 memory on a 160-bit bus, while the RX 9070 GRE has 12 GB of GDDR6 memory on a 192-bit bus. The RX 9070 GRE’s memory bandwidth is 432.0 GB/s, exceeding the RTX 4000 Ada’s 360.0 GB/s.

Q: Which GPU has a higher boost clock?

A: The AMD Radeon RX 9070 GRE boosts to 2790 MHz, significantly higher than the RTX 4000 Ada’s boost clock of 2175 MHz. The RX 9070 GRE also has a game clock of 2220 MHz.

Q: What is the TDP difference between the two cards?

A: The RTX 4000 Ada has a TDP of 130 W with a suggested PSU of 300 W, while the RX 9070 GRE has a TDP of 220 W and requires a 550 W suggested PSU.

Q: Do both GPUs support the same API levels?

A: Yes, both support DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4. The display outputs differ, with the RTX 4000 Ada offering 4x DisplayPort 1.4a and the RX 9070 GRE offering 1x HDMI 2.1b plus 3x DisplayPort 2.1a.

Architecture Differences

The two GPUs are built on fundamentally different architectures from their respective manufacturers. The NVIDIA RTX 4000 Ada Generation uses the AD104 chip based on the Ada Lovelace architecture, manufactured on a 5 nm process at TSMC. In contrast, the AMD Radeon RX 9070 GRE uses the Navi 48 chip based on RDNA 4.0, also fabricated by TSMC but on a more advanced 4 nm node.

The transistor counts reveal stark differences in design philosophy. The RTX 4000 Ada packs 35,800 million transistors into a 294 mm² die, yielding a transistor density of 121.8 million per mm². The RX 9070 GRE contains 53,900 million transistors on a larger 357 mm² die, achieving a higher density of 151.0 million per mm². This indicates the AMD chip uses a denser, more complex layout.

Shading unit counts diverge dramatically. The RTX 4000 Ada has 6,144 shading units, while the RX 9070 GRE has only 3,072, exactly half. However, the RX 9070 GRE compensates with higher clock speeds and different compute characteristics. Both cards feature 192 texture mapping units and 48 ray tracing cores, though the ray tracing implementations differ between Ada Lovelace and RDNA 4.0.

The RTX 4000 Ada includes 192 tensor cores, which are absent from the RX 9070 GRE’s specification sheet. This suggests a focus on AI-accelerated workloads for the NVIDIA card. The pixel rate also favors AMD, with the RX 9070 GRE achieving 267.8 GPixel/s versus 139.2 GPixel/s for the RTX 4000 Ada. Texture rates follow a similar pattern, with AMD reaching 535.7 GTexel/s compared to NVIDIA’s 417.6 GTexel/s.

Head-to-Head Benchmarks

The head-to-head benchmark data contains a single recorded test: Geekbench OpenCL. In this test, the NVIDIA RTX 4000 Ada Generation achieves a score of 146,593, while the AMD Radeon RX 9070 GRE scores 134,417. The delta is 9.1% in favor of NVIDIA, marking the RTX 4000 Ada as the clear winner in this specific workload.

This 9.1% margin is notable given how close the overall average scores are. The RTX 4000 Ada’s Geekbench Vulkan score of 123,842 provides additional context, though no comparable Vulkan result exists for the RX 9070 GRE in the fact pack. The OpenCL result suggests that NVIDIA’s architecture handles this compute workload more efficiently, despite the RX 9070 GRE’s higher raw FP32 throughput of 34.28 TFLOPS compared to 26.73 TFLOPS for the RTX 4000 Ada.

The win count reflects this single benchmark: the RTX 4000 Ada has one win and the RX 9070 GRE has none. However, the broader benchmark picture shows how close these cards are. The nearest rival data places them within 0.6% of each other, with the NVIDIA A10M sitting between them at 135,230. The AMD Radeon PRO W6800 trails at 133,588, and the NVIDIA GeForce RTX 3090 Ti comes in at 131,911, putting both cards ahead of these alternatives by 1.2% to 2.5%.

Specification Differences

The specification sheets reveal several key differences beyond the architectural split. The RTX 4000 Ada has a base clock of 1500 MHz and a boost clock of 2175 MHz, while the RX 9070 GRE starts at 1420 MHz base, boosts to 2790 MHz, and adds a game clock of 2220 MHz. Memory configurations differ substantially: the RTX 4000 Ada offers 20 GB across a 160-bit bus, while the RX 9070 GRE provides 12 GB on a 192-bit bus. Both use GDDR6 memory at 18 Gbps effective, but the wider bus gives AMD a bandwidth advantage of 432.0 GB/s versus 360.0 GB/s.

Power requirements diverge significantly. The RTX 4000 Ada consumes 130 W TDP with a single 16-pin connector and a 300 W suggested PSU. The RX 9070 GRE draws 220 W TDP, uses two 8-pin connectors, and recommends a 550 W PSU. Physical dimensions vary, with the RTX 4000 Ada being a single-slot card measuring 245 mm in length and 112 mm in height; the RX 9070 GRE is a dual-slot card with no dimensions listed.

Bus interface and display outputs also differ. The RTX 4000 Ada uses PCIe 4.0 x16 and provides four DisplayPort 1.4a outputs. The RX 9070 GRE uses the newer PCIe 5.0 x16 interface and offers one HDMI 2.1b port plus three DisplayPort 2.1a outputs. In terms of compute throughput, the RX 9070 GRE leads in FP32 at 34.28 TFLOPS and FP16 at 68.57 TFLOPS (2:1 ratio), while the RTX 4000 Ada achieves 26.73 TFLOPS in both FP32 and FP16 at a 1:1 ratio.

Where Each One Wins

The RTX 4000 Ada Generation wins in the recorded Geekbench OpenCL benchmark, posting a 9.1% higher score. Its 20 GB memory capacity is double the RX 9070 GRE’s 12 GB, which can be decisive for large datasets or high-resolution textures that exceed the smaller frame buffer. The NVIDIA card also includes tensor cores, making it suited for workloads that leverage AI acceleration, and its 130 W TDP with a single-slot design offers a compact, power-efficient form factor.

The RX 9070 GRE counters with significant advantages in raw compute throughput. Its 34.28 TFLOPS FP32 and 68.57 TFLOPS FP16 figures substantially exceed the RTX 4000 Ada’s 26.73 TFLOPS in both categories. The AMD card also achieves higher pixel rates (267.8 GPixel/s vs 139.2 GPixel/s) and texture rates (535.7 GTexel/s vs 417.6 GTexel/s). Memory bandwidth favors AMD at 432.0 GB/s, and the PCIe 5.0 interface provides double the bus bandwidth of PCIe 4.0. The higher boost clock of 2790 MHz suggests strong performance in clock-sensitive workloads.

The Verdict

The benchmark data positions the NVIDIA RTX 4000 Ada Generation as the higher-performing card in the tested compute scenario, with a 9.1% lead in Geekbench OpenCL and an average score that is 0.6% higher. For users prioritizing raw compute performance in OpenCL-based applications, the RTX 4000 Ada is the data-backed choice. Its 20 GB memory capacity and tensor cores further extend its suitability for memory-intensive and AI-accelerated tasks.

The AMD Radeon RX 9070 GRE, while trailing in the single recorded benchmark, offers superior specifications in several areas that could translate to wins in unmeasured workloads. Its higher FP32 and FP16 throughput, faster pixel and texture rates, and greater memory bandwidth suggest potential advantages in gaming or graphics-heavy tasks. The newer PCIe 5.0 interface and higher boost clock add to its appeal.

Ultimately, the choice depends on workload priorities. The RTX 4000 Ada demonstrates a concrete benchmark victory and workstation-oriented features like tensor cores and a lower 130 W TDP. The RX 9070 GRE counters with higher compute ceilings and modern connectivity, but lacks a recorded Vulkan benchmark to validate its performance in that API. The data shows a near-tie in overall standing, with NVIDIA holding a slim edge in measured performance and AMD offering compelling specification advantages that remain untested in this dataset.