ASUS ProArt P16 + RTX 4070 Performance Overview
The ASUS ProArt P16, featuring the AMD Ryzen AI 9 HX 370 and NVIDIA GeForce RTX 4070 Laptop GPU, is a powerhouse designed for creative professionals and AI tasks. With 32 GB of RAM and a 2TB SSD, this system excels in AI-driven workloads such as Style Transfer, Pose Estimation, and Depth Estimation. The RTX 4070 provides significant GPU-accelerated performance, while the Ryzen AI 9 HX 370 handles CPU-intensive tasks with efficiency.
Hardware Specs
- CPU: AMD Ryzen AI 9 HX 370 w/ Radeon 890M, 12 cores (2.00 GHz)
- RAM: 32 GB
- GPU: NVIDIA GeForce RTX 4070 Laptop GPU
- SSD: 2TB
Estimated Total Price (2024): $2,017.99
Price-to-Performance: 940.7 per $100
The ASUS ProArt P16 achieves a price-to-performance ratio of 940.7 per $100, based on its overall single precision GPU benchmark score of 18,992.
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: (18992 / 2017.99) × 100 ≈ 940.7 per $100
DirectML GPU Benchmarks
The NVIDIA GeForce RTX 4070 Laptop GPU delivers impressive performance in AI tasks like Style Transfer, Pose Estimation, and Depth Estimation. Its strong performance in both single and half precision tasks ensures that the GPU efficiently handles large workloads, making it ideal for creative and AI-focused tasks.
View the full benchmark test here.
Benchmark Scores
- Single Precision: 18,992
- Half Precision: 31,754
- Quantized: 14,173
Top AI Tasks (Single Precision)
| AI Task | Score | IPS | AI Task | Score | IPS |
|---|---|---|---|---|---|
| 1. Style Transfer | 171,661 | 220.7 | 4. Depth Estimation | 37,584 | 289.6 |
| 2. Pose Estimation | 96,813 | 113.0 | 5. Face Detection | 19,579 | 232.6 |
| 3. Image Segmentation | 14,182 | 229.9 | 6. Object Detection | 9,354 | 742.0 |
ONNX CPU Benchmarks
This test highlights the AMD Ryzen AI 9 HX 370 CPU performance. While the CPU performs solidly, it is more suited for lower-precision AI tasks, and its overall speed is lower compared to the GPU in handling large AI workloads.
View the full benchmark test here.
Benchmark Scores
- Single Precision: 2,983
- Half Precision: 1,509
- Quantized: 4,908
Top AI Tasks (Single Precision)
| AI Task | Score | IPS | AI Task | Score | IPS |
|---|---|---|---|---|---|
| 1. Style Transfer | 15,770 | 20.3 | 4. Depth Estimation | 6,412 | 49.4 |
| 2. Pose Estimation | 8,373 | 9.77 | 5. Face Detection | 3,010 | 35.8 |
| 3. Object Detection | 1,681 | 133.4 | 6. Image Super-Resolution | 2,368 | 87.5 |
OpenVINO CPU Benchmarks
This benchmark using the OpenVINO Backend demonstrates good CPU performance for lower-precision workloads. The system performs best in Style Transfer, Pose Estimation, and Face Detection, showcasing its strengths in quantized tasks.
View the full benchmark test here.
Benchmark Scores
- Single Precision: 5,315
- Half Precision: 5,295
- Quantized: 13,476
Top AI Tasks (Single Precision)
| AI Task | Score | IPS | AI Task | Score | IPS |
|---|---|---|---|---|---|
| 1. Style Transfer | 22,252 | 28.6 | 4. Depth Estimation | 9,039 | 69.6 |
| 2. Pose Estimation | 8,339 | 9.73 | 5. Face Detection | 8,879 | 105.5 |
| 3. Image Classification | 3,036 | 564.6 | 6. Object Detection | 2,959 | 234.7 |
Final Summary
The ASUS ProArt P16, powered by the AMD Ryzen AI 9 HX 370 and NVIDIA GeForce RTX 4070 Laptop GPU, delivers impressive AI performance across a variety of workloads. With standout results in Style Transfer, Pose Estimation, and Depth Estimation, the RTX 4070 excels in GPU-driven tasks, while the Ryzen AI 9 offers reliable support for CPU-bound AI workloads. This system is an excellent choice for creative professionals needing strong AI processing capabilities.