ASUS System Product Name
Geekbench ML Score
21004
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | June 03 2025 06:25 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E EXTREME |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 16 Cores |
| L1 Instruction Cache | 32.0 KB x 16 |
| L1 Data Cache | 32.0 KB x 16 |
| L2 Cache | 1.00 MB x 16 |
| L3 Cache | 96.0 MB x 2 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7900 XTX |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
12061
2.26 KIPS |
|
|
Image Classification (F16)
|
100% |
11929
2.23 KIPS |
|
|
Image Classification (I8)
|
100% |
9823
1.84 KIPS |
|
|
Image Segmentation (F32)
|
100% |
13555
226.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
13631
227.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
12518
209.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
250240
303.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
234600
284.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
214681
260.0 IPS |
|
|
Object Detection (F32)
|
100% |
5352
399.6 IPS |
|
|
Object Detection (F16)
|
100% |
5451
407.0 IPS |
|
|
Object Detection (I8)
|
56% |
4327
323.1 IPS |
|
|
Face Detection (F32)
|
100% |
40183
477.8 IPS |
|
|
Face Detection (F16)
|
100% |
39611
471.0 IPS |
|
|
Face Detection (I8)
|
88% |
33595
399.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
66851
518.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
66670
517.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
51564
399.9 IPS |
|
|
Style Transfer (F32)
|
100% |
222611
292.8 IPS |
|
|
Style Transfer (F16)
|
100% |
229562
302.0 IPS |
|
|
Style Transfer (I8)
|
98% |
204563
269.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
23075
824.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
23624
843.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
17759
634.2 IPS |
|
|
Text Classification (F32)
|
100% |
3438
4.94 KIPS |
|
|
Text Classification (F16)
|
100% |
2818
4.05 KIPS |
|
|
Text Classification (I8)
|
98% |
1914
2.75 KIPS |
|
|
Machine Translation (F32)
|
100% |
4108
75.6 IPS |
|
|
Machine Translation (F16)
|
100% |
4137
76.1 IPS |
|
|
Machine Translation (I8)
|
70% |
2292
42.2 IPS |
