AMD Radeon RX 6600 LE vs NVIDIA RTX 4000 Ada Generation Comparison
AMD Radeon RX 6600 LE
RTX 4000 Ada Generation
PERFORMANCE BENCHMARKS
Analysis: AMD Radeon RX 6600 LE vs NVIDIA RTX 4000 Ada Generation
The Verdict
The recorded data is unambiguous: the NVIDIA RTX 4000 Ada Generation is the dominant performer in this comparison, winning both head-to-head benchmarks decisively. Its average benchmark score of 135,218 places it in the 95th percentile of all GPUs, while the AMD Radeon RX 6600 LE scores 70,829, sitting in the 91st percentile. The 4000 Ada leads by 111.8% in Geekbench OpenCL and by 71% in Geekbench Vulkan. For any workload where raw compute throughput is the primary criterion, the NVIDIA card is the clear choice.
The AMD RX 6600 LE, however, is not without merit. It achieves a higher pixel rate (159.7 GPixel/s versus 139.2 GPixel/s) despite its far lower FP32 throughput, and it does so at a similar power draw (132 W TDP versus 130 W). The RX 6600 LE also has a smaller physical footprint (190 mm length versus 245 mm) and uses a standard 8-pin power connector, making it a more flexible option for compact builds. If the workload is rasterization-bound and does not require the NVIDIA card's massive compute advantage, the AMD card may suffice, but the data shows it trails by a wide margin in general compute benchmarks.
The verdict is straightforward: the RTX 4000 Ada Generation is for users who need maximum compute performance, large memory capacity, and professional workstation features. The RX 6600 LE is for users who prioritize compactness, standard power connectivity, and acceptable performance at a lower performance tier. There is no scenario in the benchmark data where the AMD card outperforms the NVIDIA card.
FAQ
Q: Which GPU has the higher average benchmark score?
A: The NVIDIA RTX 4000 Ada Generation scores 135,218 on average, which is 90.9% higher than the AMD Radeon RX 6600 LE's 70,829. The NVIDIA card sits in the 95th percentile while the AMD card sits in the 91st.
Q: How large is the performance gap in the head-to-head tests?
A: In Geekbench OpenCL, the RTX 4000 Ada scores 146,593 versus 69,229 for the RX 6600 LE, a delta of 111.8%. In Geekbench Vulkan, the scores are 123,842 versus 72,428, a delta of 71%. The NVIDIA card wins both tests.
Q: What is the memory capacity difference between the two cards?
A: The RTX 4000 Ada Generation has 20 GB of GDDR6 memory on a 160-bit bus, delivering 360.0 GB/s of bandwidth. The RX 6600 LE has 8 GB of GDDR6 on a 128-bit bus, delivering 224.0 GB/s. The NVIDIA card offers 2.5 times the capacity and 60.7% more bandwidth.
Q: Which card has a higher boost clock?
A: The AMD RX 6600 LE has a boost clock of 2495 MHz, while the RTX 4000 Ada has a boost clock of 2175 MHz. The AMD card also has a higher base clock (1626 MHz versus 1500 MHz) and a game clock of 2045 MHz.
Q: Are both cards on the same manufacturing process?
A: No. The RTX 4000 Ada uses a 5 nm process at TSMC with 35,800 million transistors on a 294 mm² die. The RX 6600 LE uses a 7 nm process at TSMC with 11,060 million transistors on a 237 mm² die. The NVIDIA chip has over three times the transistor count.
Q: What are the nearest rivals for each card according to the database?
A: For the RTX 4000 Ada, the nearest rival is the NVIDIA A10M with a delta of 0%, followed by the AMD Radeon PRO W6800 at -0.1%. For the RX 6600 LE, the nearest rival is the NVIDIA RTX A3000 Mobile at +1%, followed by the NVIDIA Quadro P6000 at +1.2%.
Architecture Differences
The RTX 4000 Ada Generation is built on the Ada Lovelace architecture using the AD104 chip, fabricated on a 5 nm process at TSMC. It packs 35,800 million transistors into a 294 mm² die, yielding a transistor density of 121.8 million per mm². The chip includes 6144 shading units, 192 texture mapping units, 64 ROPs, 48 RT cores, and 192 tensor cores. This is a workstation-oriented design with a single-slot cooler and a 16-pin power connector.
The RX 6600 LE uses the RDNA 2.0 architecture with the Navi 23 chip, produced on a 7 nm process at TSMC. It contains 11,060 million transistors on a 237 mm² die, with a transistor density of 46.7 million per mm². The chip has 1792 shading units, 112 TMUs, 64 ROPs, and 28 RT cores, but no tensor cores. This is a mainstream gaming-oriented design with a dual-slot cooler and an 8-pin power connector.
The architectural differences are profound. The NVIDIA card has 3.24 times the transistor count, 3.43 times the shading units, 1.71 times the TMUs, 1.71 times the RT cores, and dedicated tensor cores that the AMD card lacks entirely. The FP32 throughput is 26.73 TFLOPS for NVIDIA versus 8.942 TFLOPS for AMD, a 199% advantage. The FP16 throughput is identical to FP32 (1:1) on the NVIDIA card at 26.73 TFLOPS, while the AMD card achieves 17.88 TFLOPS at a 2:1 ratio, showing the architectural priority differences.
The process node difference (5 nm versus 7 nm) explains part of the density gap, but the core count disparity is the primary driver of performance. The RTX 4000 Ada's tensor cores provide hardware acceleration for AI workloads, a feature entirely absent from the RX 6600 LE. The AMD card's higher pixel rate (159.7 GPixel/s versus 139.2 GPixel/s) suggests its ROPs are more efficient per clock, but the overall compute capability is far lower.
Specification Differences
The two cards differ across nearly every specification field. The RTX 4000 Ada has a base clock of 1500 MHz and a boost clock of 2175 MHz, while the RX 6600 LE has a base clock of 1626 MHz, a game clock of 2045 MHz, and a boost clock of 2495 MHz. Memory clock differs as well: 2250 MHz (18 Gbps effective) for NVIDIA versus 1750 MHz (14 Gbps effective) for AMD.
Memory configuration is a major differentiator. The NVIDIA card offers 20 GB of GDDR6 on a 160-bit bus with 360.0 GB/s bandwidth. The AMD card has 8 GB of GDDR6 on a 128-bit bus with 224.0 GB/s bandwidth. The NVIDIA card's memory bandwidth advantage is 60.7%, and its capacity advantage is 150%.
Compute resources differ dramatically: 6144 shading units versus 1792, 192 TMUs versus 112, 64 ROPs versus 64 (equal), 48 RT cores versus 28, and 192 tensor cores versus none. FP32 performance is 26.73 TFLOPS versus 8.942 TFLOPS. FP16 performance is 26.73 TFLOPS (1:1) versus 17.88 TFLOPS (2:1). Pixel rate favors AMD at 159.7 GPixel/s versus 139.2 GPixel/s, while texture rate favors NVIDIA at 417.6 GTexel/s versus 279.4 GTexel/s.
Power and physical specifications also differ. TDP is nearly identical: 130 W for NVIDIA, 132 W for AMD. Both recommend a 300 W PSU. The NVIDIA card is single-slot with a 16-pin connector, measuring 245 mm by 112 mm. The AMD card is dual-slot with an 8-pin connector, measuring 190 mm by 110 mm by 40 mm. Bus interface differs: PCIe 4.0 x16 for NVIDIA versus PCIe 4.0 x8 for AMD. Display outputs are 4x DisplayPort 1.4a for NVIDIA versus 1x HDMI 2.1 and 3x DisplayPort 1.4a for AMD. Both support DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4.
Head-to-Head Benchmarks
The database records two head-to-head benchmark tests, both won by the RTX 4000 Ada Generation. In Geekbench OpenCL, the NVIDIA card scores 146,593 against 69,229 for the AMD card, a delta of 111.8%. This means the NVIDIA card is more than twice as fast in this compute-oriented test. The margin is so large that it dwarfs the differences between the AMD card and its own nearest rivals.
In Geekbench Vulkan, the RTX 4000 Ada scores 123,842 versus 72,428 for the RX 6600 LE, a delta of 71%. While still a decisive victory, the Vulkan gap is smaller than the OpenCL gap, suggesting the AMD architecture handles the Vulkan API relatively better. However, the NVIDIA card still holds a commanding lead.
The average benchmark scores confirm the head-to-head results. The RTX 4000 Ada's average of 135,218 is 90.9% higher than the RX 6600 LE's 70,829. The NVIDIA card's nearest rivals (NVIDIA A10M at 135,230, AMD Radeon PRO W6800 at 135,396) are within 0.4% of its score, indicating it is well-positioned in its class. The AMD card's nearest rivals (AMD Radeon RX 6650M at 71,768, NVIDIA RTX A3000 Mobile at 70,140) are within 1.4% of its score, showing it is competitive with mid-range mobile and workstation parts.
The wins tally is 2 for NVIDIA and 0 for AMD. There is no benchmark in the recorded data where the RX 6600 LE emerges victorious. The pixel rate advantage (159.7 versus 139.2 GPixel/s) is the only metric where the AMD card leads, but this does not translate into a benchmark win in the recorded tests.
Where Each One Wins
The RTX 4000 Ada Generation wins in every compute benchmark recorded. Its FP32 throughput of 26.73 TFLOPS is nearly three times the RX 6600 LE's 8.942 TFLOPS, making it the clear choice for general-purpose compute, scientific simulation, and any workload that leverages OpenCL or Vulkan compute shaders. The 20 GB memory capacity and 360.0 GB/s bandwidth provide ample headroom for large datasets, AI model inference (with 192 tensor cores), and professional rendering tasks. Its 95th percentile ranking among all GPUs confirms its position as a high-end workstation part.
The RX 6600 LE wins in specific physical and architectural metrics, even if not in benchmarks. Its higher pixel rate (159.7 GPixel/s) suggests it can fill frames faster in pure rasterization scenarios, although the FP32 gap makes this advantage unlikely to manifest in real workloads. Its compact dimensions (190 mm length, 40 mm width) and standard 8-pin power connector make it easier to install in small form factor cases or systems with older power supplies. The dual-slot cooler may offer better thermal dissipation in some chassis designs. The HDMI 2.1 output is an advantage for users connecting to modern televisions or monitors that prefer HDMI over DisplayPort.
For users who need maximum compute performance, the RTX 4000 Ada is the only rational choice based on the data. For users who need a compact card with standard power connectivity and are willing to accept a 71% to 111.8% performance deficit in compute benchmarks, the RX 6600 LE fits that niche. The database shows no scenario where the AMD card outperforms the NVIDIA card in recorded tests, so the decision rests on physical constraints and workload priorities rather than benchmark results.