AMD Radeon AI PRO 9600D vs NVIDIA GeForce RTX 4060 Comparison

Where Each One Wins

The recorded data presents two very different GPU designs with distinct usage profiles. The AMD Radeon AI PRO 9600D has no benchmark entries in the database, meaning all measured performance data comes from the NVIDIA GeForce RTX 4060. This asymmetry defines the comparison: the AMD card is positioned as a professional compute and AI-oriented product, while the NVIDIA card is a consumer gaming GPU with a full benchmark suite.

The RTX 4060 shows its strengths across a broad spectrum of tests. In 3DMark Steel Nomad DX12, it records a score of 2302, which represents modern rasterization performance. The Geekbench OpenCL score of 95057 and Vulkan score of 48643 indicate strong compute throughput for general-purpose workloads. PassMark results further illustrate the NVIDIA card's versatility: DirectX 9 scores 236, DirectX 10 scores 103, DirectX 11 scores 175, and DirectX 12 scores 76. The PassMark G3D score of 19545 and GPU Compute score of 9213 round out the picture of a balanced consumer GPU.

The AMD Radeon AI PRO 9600D, despite lacking recorded benchmarks, wins by specification in several key areas. Its 32 GB memory capacity quadruples the RTX 4060's 8 GB, and its 576.0 GB/s bandwidth more than doubles the NVIDIA card's 272.0 GB/s. These figures point to workloads involving large datasets, high-resolution textures, or AI model inference where memory capacity and bandwidth become the limiting factors. The AMD card also carries a 150 W TDP versus 115 W for the NVIDIA card, suggesting it trades some efficiency for additional compute resources.

The percentile data reinforces this split. The RTX 4060 sits at the 61st percentile among all GPUs in the database, with an average benchmark score of 17639. Its nearest rivals, the AMD Radeon HD 7790 at 17666 (0.2% faster), the AMD Radeon 780M at 17588 (0.3% slower), the AMD Radeon Pro 560 at 17551 (0.5% slower), and the AMD Radeon Pro 460 at 17509 (0.7% slower), all cluster within a narrow band. This shows the RTX 4060 performs consistently near its expected class. The AI PRO 9600D holds a 50th percentile ranking, though with no benchmark scores recorded, this reflects its specification position rather than measured performance.

Architecture Differences

The two GPUs come from different architectural generations and design philosophies. The AMD Radeon AI PRO 9600D uses the Navi 48 chip built on the RDNA 4.0 architecture, fabricated on a 4 nm process at TSMC. The RTX 4060 uses the AD107 chip with the Ada Lovelace architecture, manufactured on a 5 nm process at the same foundry. This process difference gives AMD an advantage in transistor density: 151.0M per mm² versus 118.9M per mm² for NVIDIA.

Transistor counts diverge dramatically. The Navi 48 packs 53,900 million transistors across a 357 mm² die, while AD107 contains 18,900 million transistors on a 159 mm² die. The AMD chip is both larger and significantly more complex, reflecting its professional compute orientation. The RTX 4060's smaller die and lower transistor count align with its consumer gaming focus and reduced power envelope.

Core configurations show both similarities and differences. Both GPUs feature 3072 shading units, but the AMD card pairs them with 192 texture mapping units and 96 render output units, versus 96 TMUs and 48 ROPs for NVIDIA. The ray tracing hardware differs substantially: the AI PRO 9600D has 48 RT cores while the RTX 4060 has 24. Conversely, the RTX 4060 includes 96 tensor cores, which the AMD card lacks entirely. These differences indicate AMD prioritizes raw throughput and ray tracing capacity, while NVIDIA integrates dedicated AI acceleration hardware.

Clock speeds favor NVIDIA. The RTX 4060 runs at a 1830 MHz base and 2460 MHz boost, while the AI PRO 9600D operates at 1080 MHz base and 2020 MHz boost. Despite lower clocks, the AMD card achieves higher peak rates through its wider execution resources: 24.82 TFLOPS FP32 and FP16 versus 15.11 TFLOPS for both precisions on the RTX 4060. Pixel rate and texture rate also favor AMD at 193.9 GPixel/s and 387.8 GTexel/s, compared to 118.1 GPixel/s and 236.2 GTexel/s for NVIDIA.

Memory subsystems diverge sharply. The AI PRO 9600D uses 32 GB of GDDR6 on a 256-bit bus, delivering 576.0 GB/s. The RTX 4060 uses 8 GB of GDDR6 on a 128-bit bus, providing 272.0 GB/s. The AMD card's memory clock runs at 2250 MHz (18 Gbps effective), while NVIDIA's runs at 2125 MHz (17 Gbps effective). PCIe connectivity also differs, with AMD using PCIe 5.0 x16 and NVIDIA using PCIe 4.0 x8, giving the AMD card twice the interface width and a newer generation.

Head-to-Head Benchmarks

Since the AMD Radeon AI PRO 9600D has no recorded benchmark entries, direct head-to-head comparisons rely on the RTX 4060's measured scores and the specification differences between the cards. The database shows no wins for either GPU in head-to-head testing, and the wins counter reads zero for both sides. This absence of measured competition means the analysis must proceed through theoretical peak rates and architectural capabilities.

The FP32 compute figures provide the clearest separation. The AI PRO 9600D delivers 24.82 TFLOPS, which is 64% higher than the RTX 4060's 15.11 TFLOPS. This advantage arises from the AMD card's 3072 shading units operating at higher effective throughput despite lower clocks, combined with its wider memory bus feeding data to those units. The pixel rate advantage follows a similar pattern: 193.9 GPixel/s versus 118.1 GPixel/s represents a 64% lead for AMD. Texture rate shows the same proportional gap at 387.8 GTexel/s versus 236.2 GTexel/s.

Memory bandwidth offers the most decisive specification win for AMD. The 576.0 GB/s bandwidth against 272.0 GB/s gives the AI PRO 9600D a 112% advantage, more than double the RTX 4060's capacity. Combined with 32 GB versus 8 GB capacity, the AMD card can hold substantially larger working sets and feed them to the compute units faster. For AI inference, large language model loading, or 4K texture-heavy rendering, this memory advantage would likely translate into meaningful performance gains.

The RTX 4060 counters with its tensor cores. With 96 tensor cores dedicated to AI acceleration, NVIDIA's card can offload matrix operations to specialized hardware. The AMD card has no tensor core equivalent, relying instead on its general-purpose shading units for all compute work. The RTX 4060's recorded benchmark scores show solid compute capability, particularly the Geekbench OpenCL score of 95057 and Vulkan score of 48643, which demonstrate the card's ability to handle parallel workloads efficiently.

Ray tracing hardware also differs. The AI PRO 9600D contains 48 RT cores, double the 24 in the RTX 4060. This specification suggests AMD's card can process ray intersection workloads with greater parallelism. However, without benchmark data for the AMD card, the practical impact of this advantage remains unquantified. The RTX 4060's 3DMark Steel Nomad DX12 score of 2302 provides a reference point for modern graphics performance, but no comparable AMD score exists in the database.

FAQ

Q: Which GPU has more memory bandwidth?

A: The AMD Radeon AI PRO 9600D offers 576.0 GB/s bandwidth, more than double the RTX 4060's 272.0 GB/s.

Q: Does the RTX 4060 have tensor cores?

A: Yes, the RTX 4060 includes 96 tensor cores, while the AMD Radeon AI PRO 9600D has no tensor cores listed.

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

A: The AMD Radeon AI PRO 9600D contains 53,900 million transistors on a 357 mm² die, while the RTX 4060 contains 18,900 million transistors on a 159 mm² die.

Q: Which card has a higher boost clock?

A: The NVIDIA GeForce RTX 4060 boosts to 2460 MHz, while the AMD Radeon AI PRO 9600D boosts to 2020 MHz.

Q: How does the memory capacity compare?

A: The AMD Radeon AI PRO 9600D has 32 GB of GDDR6 memory, while the RTX 4060 has 8 GB of GDDR6.

Q: What is the RTX 4060's average benchmark score?

A: The RTX 4060 has an average benchmark score of 17639, placing it at the 61st percentile among all GPUs in the database.

The Verdict

The data indicates two specialized tools rather than direct competitors. The AMD Radeon AI PRO 9600D targets workloads that demand large memory capacity, high bandwidth, and raw compute throughput. Its 32 GB memory, 576.0 GB/s bandwidth, and 24.82 TFLOPS FP32 performance make it suitable for AI model training, scientific computing, or professional rendering tasks that process massive datasets. The 48 RT cores and PCIe 5.0 x16 interface further support professional workloads requiring high data transfer rates.

The NVIDIA GeForce RTX 4060 serves the consumer gaming and general-purpose compute market. Its benchmark scores, including the PassMark G3D score of 19545 and 3DMark Steel Nomad DX12 score of 2302, show solid rasterization performance for its class. The 96 tensor cores provide dedicated AI acceleration that the AMD card lacks, which could benefit applications using NVIDIA's AI ecosystem. The 115 W TDP and 300 W suggested PSU make it easier to integrate into typical desktop builds.

Production status distinguishes the two cards clearly. The AMD Radeon AI PRO 9600D remains in active production with a release date of December 2025, while the RTX 4060 reached end-of-life status after its May 2023 release. The RTX 4060's successor, the GeForce 50 series, already exists in the product lineage. The AMD card's predecessor is the Radeon Pro Vega, indicating a professional lineage.

Users requiring maximum memory capacity and bandwidth for data-intensive professional workloads should select the AMD Radeon AI PRO 9600D. Users seeking a proven consumer GPU with measured benchmark performance, tensor core acceleration, and lower power requirements should select the NVIDIA GeForce RTX 4060. The RTX 4060's launch MSRP was 299 USD, though its end-of-life status implies current street pricing may differ. The choice ultimately depends on whether the workload prioritizes memory resources or measured consumer performance.

Specification Differences

| Specification | AMD Radeon AI PRO 9600D | NVIDIA GeForce RTX 4060 |

|---|---|---|

| Architecture | RDNA 4.0 | Ada Lovelace |

| Process Node | 4 nm | 5 nm |

| Transistors | 53,900 million | 18,900 million |

| Die Size | 357 mm² | 159 mm² |

| Transistor Density | 151.0M / mm² | 118.9M / mm² |

| Base Clock | 1080 MHz | 1830 MHz |

| Boost Clock | 2020 MHz | 2460 MHz |

| Memory Size | 32 GB | 8 GB |

| Memory Bus Width | 256 bit | 128 bit |

| Memory Bandwidth | 576.0 GB/s | 272.0 GB/s |

| TMUs | 192 | 96 |

| ROPs | 96 | 48 |

| RT Cores | 48 | 24 |

| Tensor Cores | None | 96 |

| FP32 Performance | 24.82 TFLOPS | 15.11 TFLOPS |

| FP16 Performance | 24.82 TFLOPS (1:1) | 15.11 TFLOPS (1:1) |

| Pixel Rate | 193.9 GPixel/s | 118.1 GPixel/s |

| Texture Rate | 387.8 GTexel/s | 236.2 GTexel/s |

| TDP | 150 W | 115 W |

| Slot Width | Single-slot | Dual-slot |

| Power Connector | 1x 16-pin | 1x 12-pin |

| Suggested PSU | 450 W | 300 W |

| Bus Interface | PCIe 5.0 x16 | PCIe 4.0 x8 |

| Display Outputs | 1x DisplayPort 2.1a | 1x HDMI 2.1, 3x DisplayPort 1.4a |

| Production Status | Active | End-of-life |

| Release Date | 2025-12-10 | 2023-05-17 |

| Predecessor | Radeon Pro Vega | GeForce 30 |

| Successor | None | GeForce 50 |

| Percentile vs All GPUs | 50 | 61 |

| Average Benchmark Score | 0 | 17639 |