ASUS System Product Name
Geekbench ML Score
20745
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 19 2025 05:38 AM |
| Views | 3 |
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% |
11779
2.20 KIPS |
|
|
Image Classification (F16)
|
100% |
11711
2.19 KIPS |
|
|
Image Classification (I8)
|
100% |
9604
1.80 KIPS |
|
|
Image Segmentation (F32)
|
100% |
14054
234.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
13923
232.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
12794
213.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
224315
271.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
228999
277.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
213251
258.2 IPS |
|
|
Object Detection (F32)
|
100% |
5220
389.7 IPS |
|
|
Object Detection (F16)
|
100% |
5269
393.4 IPS |
|
|
Object Detection (I8)
|
56% |
4481
334.5 IPS |
|
|
Face Detection (F32)
|
100% |
39583
470.7 IPS |
|
|
Face Detection (F16)
|
100% |
38270
455.0 IPS |
|
|
Face Detection (I8)
|
88% |
32039
381.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
64913
503.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
64375
499.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
49303
382.3 IPS |
|
|
Style Transfer (F32)
|
100% |
222555
292.8 IPS |
|
|
Style Transfer (F16)
|
100% |
226035
297.3 IPS |
|
|
Style Transfer (I8)
|
98% |
205255
270.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
22600
807.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
23340
833.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
17188
613.8 IPS |
|
|
Text Classification (F32)
|
100% |
3343
4.80 KIPS |
|
|
Text Classification (F16)
|
100% |
3351
4.82 KIPS |
|
|
Text Classification (I8)
|
98% |
1858
2.67 KIPS |
|
|
Machine Translation (F32)
|
100% |
4061
74.7 IPS |
|
|
Machine Translation (F16)
|
100% |
4048
74.5 IPS |
|
|
Machine Translation (I8)
|
70% |
2246
41.3 IPS |
