ASUS System Product Name
Geekbench ML Score
21058
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 06 2025 07:00 AM |
| Views | 4 |
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% |
11987
2.24 KIPS |
|
|
Image Classification (F16)
|
100% |
12077
2.26 KIPS |
|
|
Image Classification (I8)
|
100% |
9948
1.86 KIPS |
|
|
Image Segmentation (F32)
|
100% |
13682
228.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
13510
225.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
13110
219.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
225781
273.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
227956
276.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
208771
252.8 IPS |
|
|
Object Detection (F32)
|
100% |
5253
392.2 IPS |
|
|
Object Detection (F16)
|
100% |
5340
398.7 IPS |
|
|
Object Detection (I8)
|
56% |
4561
340.5 IPS |
|
|
Face Detection (F32)
|
100% |
40669
483.6 IPS |
|
|
Face Detection (F16)
|
100% |
40766
484.7 IPS |
|
|
Face Detection (I8)
|
88% |
33533
398.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
64921
503.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
66554
516.1 IPS |
|
|
Depth Estimation (I8)
|
95% |
50672
393.0 IPS |
|
|
Style Transfer (F32)
|
100% |
219245
288.4 IPS |
|
|
Style Transfer (F16)
|
100% |
223646
294.2 IPS |
|
|
Style Transfer (I8)
|
98% |
204069
268.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
23123
825.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
22324
797.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
17172
613.3 IPS |
|
|
Text Classification (F32)
|
100% |
3485
5.01 KIPS |
|
|
Text Classification (F16)
|
100% |
3500
5.03 KIPS |
|
|
Text Classification (I8)
|
98% |
2004
2.88 KIPS |
|
|
Machine Translation (F32)
|
100% |
4203
77.3 IPS |
|
|
Machine Translation (F16)
|
100% |
4181
76.9 IPS |
|
|
Machine Translation (I8)
|
70% |
2267
41.7 IPS |
