AMD Radeon AI PRO 9600D vs NVIDIA GeForce RTX 4070 Comparison

FAQ

Q: What are the benchmark scores for the NVIDIA GeForce RTX 4070?

A: The RTX 4070 records an average benchmark score of 37,648, with a 3DMark Steel Nomad DX12 score of 3,854, Geekbench OpenCL at 154,858, Geekbench Vulkan at 174,152, Passmark G3D at 26,927, and Passmark GPU Compute at 14,720.

Q: Does the AMD Radeon AI PRO 9600D have any recorded benchmark scores?

A: No. The database lists the AI PRO 9600D with an average benchmark score of 0 and no individual test results, placing it at the 50th percentile of all GPUs compared to the RTX 4070's 81st percentile.

Q: What is the transistor count and die size difference between the two cards?

A: The AI PRO 9600D uses 53,900 million transistors on a 357 mm² die, while the RTX 4070 uses 35,800 million transistors on a 294 mm² die. The AI PRO 9600D achieves a higher transistor density of 151.0M per mm² versus 121.8M per mm² for the RTX 4070.

Q: Which GPU has more memory bandwidth?

A: The AI PRO 9600D delivers 576.0 GB/s of bandwidth from its 32 GB GDDR6 memory on a 256-bit bus. The RTX 4070 provides 504.2 GB/s from 12 GB GDDR6X on a 192-bit bus.

Q: What are the power requirements for each card?

A: The AI PRO 9600D has a 150 W TDP and suggests a 450 W power supply, while the RTX 4070 has a 200 W TDP and suggests a 550 W power supply. Both use a single 16-pin power connector.

Q: Which card has better raw FP32 compute performance?

A: The RTX 4070 leads with 29.15 TFLOPS of FP32 compute, compared to 24.82 TFLOPS for the AI PRO 9600D. Both cards achieve a 1:1 FP16 to FP32 ratio.

The Verdict

The data presents a clear split between a professional compute and memory-focused card and a consumer gaming-oriented card, but only one of them has actual performance measurements in the database. The NVIDIA GeForce RTX 4070 sits at the 81st percentile of all GPUs with an average benchmark score of 37,648, while the AMD Radeon AI PRO 9600D holds the 50th percentile with zero recorded benchmarks.

For users who need proven, measured performance, the RTX 4070 is the only option with data. Its nearest rivals in the database include the NVIDIA Tesla P4 (0.1% behind), the AMD Radeon RX Vega 56 (0.4% behind), the NVIDIA GeForce RTX 4080 Mobile (1.3% ahead), and the AMD Radeon PRO W6400 (1.3% behind). These close margins indicate the RTX 4070 sits in a tightly contested performance band.

The AI PRO 9600D, however, offers 32 GB of GDDR6 memory with 576.0 GB/s bandwidth, which is more than double the RTX 4070's 12 GB capacity and 14% more bandwidth. This makes it the clear choice for workloads that demand large memory pools, such as machine learning inference, large dataset processing, or high-resolution rendering, provided those workloads do not rely on the raw compute throughput where the RTX 4070 shows a 17% FP32 advantage.

The RTX 4070 also carries 184 tensor cores, which are absent from the AI PRO 9600D's specification sheet, indicating a meaningful advantage for AI acceleration and DLSS-style features. Meanwhile, the AI PRO 9600D uses RDNA 4.0 architecture with 48 RT cores versus 46 on the RTX 4070, a marginal difference in ray tracing hardware.

Production status splits them further: the AI PRO 9600D is listed as Active, while the RTX 4070 is End-of-life with the GeForce 50 as its successor. The RTX 4070 had a launch MSRP of 599 USD. The AI PRO 9600D targets a different segment, evidenced by its single-slot cooler, 19 mm width, and single DisplayPort 2.1a output, versus the RTX 4070's dual-slot design with HDMI 2.1 and three DisplayPort 1.4a outputs.

Head-to-Head Benchmarks

The database contains no direct head-to-head benchmark results between these two cards, and the AI PRO 9600D has no benchmark scores at all. The comparison therefore relies on the RTX 4070's measured results and the architectural specifications of the AI PRO 9600D.

The RTX 4070's Passmark G3D score of 26,927 and GPU Compute score of 14,720 indicate strong general 3D rendering and compute performance. Its 3DMark Steel Nomad DX12 result of 3,854 shows DirectX 12 capability. Geekbench scores of 154,858 (OpenCL) and 174,152 (Vulkan) confirm cross-API compute strength.

The AI PRO 9600D cannot be compared numerically in any benchmark, but its FP32 throughput of 24.82 TFLOPS is 15% lower than the RTX 4070's 29.15 TFLOPS. Texture rate favors the RTX 4070 at 455.4 GTexel/s versus 387.8 GTexel/s, a 17% advantage. Pixel rate reverses the trend, with the AI PRO 9600D at 193.9 GPixel/s versus 158.4 GPixel/s, a 22% advantage for AMD.

Memory bandwidth favors the AI PRO 9600D at 576.0 GB/s versus 504.2 GB/s, an 14% lead. The RTX 4070 counters with higher boost clocks at 2475 MHz versus 2020 MHz, and a higher base clock at 1920 MHz versus 1080 MHz. Shading units heavily favor NVIDIA at 5,888 versus 3,072, while TMUs are nearly equal at 184 versus 192. ROPs favor AMD at 96 versus 64.

Specification Differences

The two cards differ across nearly every major specification category. The AI PRO 9600D uses the Navi 48 chip with RDNA 4.0 architecture on a 4 nm TSMC process, while the RTX 4070 uses the AD104 chip with Ada Lovelace architecture on a 5 nm TSMC process.

Memory configuration shows the largest gap: the AI PRO 9600D packs 32 GB of GDDR6 on a 256-bit bus with 576.0 GB/s bandwidth, whereas the RTX 4070 uses 12 GB of GDDR6X on a 192-bit bus with 504.2 GB/s bandwidth. The AI PRO 9600D's memory clock runs at 2250 MHz (18 Gbps effective), while the RTX 4070's memory clock is 1313 MHz (21 Gbps effective).

Compute resources differ substantially. The RTX 4070 has 5,888 shading units, 184 TMUs, 64 ROPs, 46 RT cores, and 184 tensor cores. The AI PRO 9600D has 3,072 shading units, 192 TMUs, 96 ROPs, and 48 RT cores, with no tensor cores listed. The RTX 4070 delivers 29.15 TFLOPS FP32 and 455.4 GTexel/s texture rate, while the AI PRO 9600D delivers 24.82 TFLOPS and 387.8 GTexel/s. Pixel rate goes to AMD at 193.9 GPixel/s versus 158.4 GPixel/s.

Power and physical design diverge: the AI PRO 9600D draws 150 W with a single-slot cooler, 241 mm length, 111 mm height, and 19 mm width. The RTX 4070 draws 200 W with a dual-slot cooler, 240 mm length, 110 mm height, and 40 mm width. The AI PRO 9600D uses PCIe 5.0 x16 and outputs a single DisplayPort 2.1a. The RTX 4070 uses PCIe 4.0 x16 and outputs one HDMI 2.1 plus three DisplayPort 1.4a.

Transistor budgets reflect the process node difference: the AI PRO 9600D integrates 53,900 million transistors on 357 mm², while the RTX 4070 fits 35,800 million on 294 mm². Both cards support DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4.

Architecture Differences

The architectural split is fundamental. The AI PRO 9600D uses RDNA 4.0, AMD's latest GPU architecture, fabricated on a 4 nm TSMC process. The RTX 4070 uses Ada Lovelace, NVIDIA's prior-generation architecture, on a 5 nm TSMC process. The smaller process node allows AMD to pack more transistors: 53,900 million versus 35,800 million, on a larger die of 357 mm² versus 294 mm².

RDNA 4.0 emphasizes efficiency and rasterization throughput. The AI PRO 9600D's 96 ROPs and 192 TMUs, combined with a 256-bit memory bus, produce a 22% pixel rate advantage over the RTX 4070. The architecture also includes 48 RT cores, which slightly exceeds the RTX 4070's 46 RT cores, though neither card's ray tracing hardware is specified in terms of dedicated RT performance metrics.

Ada Lovelace, by contrast, focuses on a massive shading unit count of 5,888, nearly double the AI PRO 9600D's 3,072. This drives the RTX 4070's 17% FP32 advantage and 17% texture rate advantage. The architecture also integrates 184 tensor cores, a feature entirely absent from the AI PRO 9600D's specifications, enabling tensor-based workloads and DLSS acceleration that AMD's card cannot match through dedicated hardware.

The memory subsystems reflect different priorities. The AI PRO 9600D uses GDDR6 at 18 Gbps effective on a 256-bit bus for 576.0 GB/s bandwidth, favoring capacity and width. The RTX 4070 uses faster GDDR6X at 21 Gbps effective on a narrower 192-bit bus, yielding 504.2 GB/s. The AI PRO 9600D's 32 GB capacity is 2.67 times the RTX 4070's 12 GB, a decisive factor for memory-bound professional workloads.

Power efficiency favors the AI PRO 9600D, which delivers its 24.82 TFLOPS at 150 W, versus the RTX 4070's 29.15 TFLOPS at 200 W. The AI PRO 9600D produces 165.5 GFLOPS per watt, while the RTX 4070 produces 145.8 GFLOPS per watt, a 13% efficiency advantage for AMD. The single-slot design of the AI PRO 9600D, with a 19 mm width, further underscores its low-power professional orientation.

Where Each One Wins

The AI PRO 9600D wins in memory capacity and bandwidth. Its 32 GB of GDDR6 with 576.0 GB/s bandwidth outperforms the RTX 4070's 12 GB and 504.2 GB/s. This makes it the better choice for large dataset processing, high-resolution texture workloads, or any application where memory footprint exceeds 12 GB. The 256-bit bus versus 192-bit also provides a wider path for data movement.

The AI PRO 9600D also wins in pixel throughput, delivering 193.9 GPixel/s versus 158.4 GPixel/s, a 22% advantage. Its higher ROP count of 96 versus 64 drives this lead, making it potentially stronger for fill-rate-bound rasterization tasks. Its 150 W TDP and single-slot profile make it more suitable for dense multi-GPU configurations or power-constrained systems.

The RTX 4070 wins in raw compute and shading throughput. Its 5,888 shading units and 29.15 TFLOPS FP32 outperform the AI PRO 9600D's 3,072 units and 24.82 TFLOPS. The 17% FP32 lead and 17% texture rate advantage (455.4 GTexel/s versus 387.8 GTexel/s) favor general-purpose compute and shader-heavy workloads.

The RTX 4070 also wins in tensor acceleration, with 184 dedicated tensor cores that the AI PRO 9600D lacks entirely. This gives it a clear edge for AI inference, deep learning training, and any DLSS-enabled gaming scenario. The RTX 4070's higher boost clock of 2475 MHz versus 2020 MHz also indicates better frequency headroom under load.

For gaming, the RTX 4070 has the only actual benchmark data, with a Passmark G3D score of 26,927 and a 3DMark Steel Nomad DX12 score of 3,854. The AI PRO 9600D has no measured gaming benchmarks. The RTX 4070's multiple display outputs, including HDMI 2.1 and three DisplayPort 1.4a, also support multi-monitor gaming setups better than the AI PRO 9600D's single DisplayPort 2.1a.

For professional AI and compute workloads where tensor cores matter, the RTX 4070 wins decisively. For memory-intensive workloads that fit within 32 GB but exceed 12 GB, the AI PRO 9600D is the only viable option. The RTX 4070 holds the performance percentile advantage at 81 versus 50, but the AI PRO 9600D's Active production status and lower power draw suggest ongoing availability and efficiency for specialized deployments.