Ryzen 7 5800X + RTX 4070 Super Performance Overview
The ASUS System, featuring the AMD Ryzen 7 5800X and NVIDIA GeForce RTX 4070 SUPER, provides powerful AI performance across various tasks. Paired with 32 GB of Corsair Vengeance LPX RAM, this system excels in Style Transfer, Pose Estimation, and Object Detection. Leveraging the power of the RTX 4070 SUPER in GPU-accelerated workloads and the capable Ryzen 7 5800X CPU, it is well-suited for a variety of AI tasks.
Hardware Specs
- Motherboard: Asus Rog Strix B550-I – $262.36 (was $217.99 in 2022)
- CPU: AMD Ryzen 7 5800X, 8 cores (3.80 GHz) – $179.92 (was $349.99 in 2022)
- RAM: Corsair Vengeance LPX 32GB (2 x 16GB) DDR4 3600 – $73.99 (was $129.99 in 2022)
- GPU: NVIDIA GeForce RTX 4070 Super 12GB GDDR6X Founders Edition – $653.24 (was $699 in 2024)
Estimated Total Price (2024): $1,169.51 This reflects current prices for the system’s components.
Price-to-Performance: 2,179.4 per $100
The ASUS System achieves a price-to-performance ratio of 2,179.4 per $100, based on its overall single precision GPU benchmark score of 25,495.
Price-to-Performance Calculation: The price-to-performance ratio is calculated by dividing the single precision GPU benchmark score by the system price, then multiplying by 100. Calculation: (25495 / 1169.51) × 100 ≈ 2,179.4 per $100
DirectML GPU Benchmarks
This benchmark highlights the performance of the NVIDIA GeForce RTX 4070 SUPER, showing excellent results in AI tasks such as Style Transfer, Pose Estimation, and Depth Estimation. The RTX 4070 SUPER delivers solid scores in both single and half precision tasks, making it ideal for high-performance AI workloads.
View the full benchmark test here.
Benchmark Scores
- Single Precision: 25,495
- Half Precision: 37,950
- Quantized: 19,608
Top AI Tasks (Single Precision)
| AI Task | Score | IPS | AI Task | Score | IPS |
|---|---|---|---|---|---|
| 1. Style Transfer | 292,751 | 376.3 | 4. Depth Estimation | 63,863 | 492.0 |
| 2. Pose Estimation | 163,910 | 191.3 | 5. Face Detection | 30,519 | 362.6 |
| 3. Image Segmentation | 15,273 | 247.6 | 6. Object Detection | 11,880 | 942.3 |
ONNX CPU Benchmarks
This test focuses on the AMD Ryzen 7 5800X CPU performance. While the CPU is less efficient than the GPU for AI workloads, it still performs well in tasks such as Style Transfer and Object Detection, particularly in quantized precision.
View the full benchmark test here.
Benchmark Scores
- Single Precision: 3,582
- Half Precision: 884
- Quantized: 3,313
Top AI Tasks (Single Precision)
| AI Task | Score | IPS | AI Task | Score | IPS |
|---|---|---|---|---|---|
| 1. Style Transfer | 16,289 | 20.9 | 4. Depth Estimation | 7,812 | 60.2 |
| 2. Pose Estimation | 6,700 | 7.82 | 5. Face Detection | 2,513 | 29.9 |
| 3. Object Detection | 2,513 | 199.3 | 6. Image Segmentation | 2,056 | 33.3 |
OpenVINO CPU Benchmarks
In this benchmark using the OpenVINO Backend, the AMD Ryzen 7 5800X CPU delivers balanced performance in Image Classification, Object Detection, and Style Transfer. Quantized scores stand out, indicating good efficiency in lower-precision AI tasks.
View the full benchmark test here.
Benchmark Scores
- Single Precision: 4,991
- Half Precision: 5,019
- Quantized: 7,593
Top AI Tasks (Single Precision)
| AI Task | Score | IPS | AI Task | Score | IPS |
|---|---|---|---|---|---|
| 1. Style Transfer | 20,940 | 26.9 | 4. Depth Estimation | 8,549 | 65.9 |
| 2. Pose Estimation | 7,213 | 8.42 | 5. Face Detection | 6,215 | 73.8 |
| 3. Object Detection | 3,357 | 266.3 | 6. Image Super-Resolution | 4,431 | 163.6 |
Final Summary
The ASUS System powered by the AMD Ryzen 7 5800X and NVIDIA GeForce RTX 4070 SUPER delivers strong AI performance, especially in Style Transfer, Pose Estimation, and Depth Estimation. The RTX 4070 SUPER excels in GPU-intensive tasks, while the Ryzen 7 5800X CPU provides reliable support in quantized workloads. Overall, this system is highly capable for a range of AI tasks, balancing both precision and speed efficiently.