ASUS System Product Name
Geekbench ML Score
21209
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | March 21 2025 04:47 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% |
12325
2.31 KIPS |
|
|
Image Classification (F16)
|
100% |
12357
2.31 KIPS |
|
|
Image Classification (I8)
|
100% |
9864
1.85 KIPS |
|
|
Image Segmentation (F32)
|
100% |
13736
229.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
13527
225.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
12139
202.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
248800
301.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
237522
287.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
222970
270.0 IPS |
|
|
Object Detection (F32)
|
100% |
5331
398.0 IPS |
|
|
Object Detection (F16)
|
100% |
5280
394.2 IPS |
|
|
Object Detection (I8)
|
56% |
4780
356.9 IPS |
|
|
Face Detection (F32)
|
100% |
39784
473.0 IPS |
|
|
Face Detection (F16)
|
100% |
40262
478.7 IPS |
|
|
Face Detection (I8)
|
88% |
33889
402.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
66359
514.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
66113
512.7 IPS |
|
|
Depth Estimation (I8)
|
95% |
52477
407.0 IPS |
|
|
Style Transfer (F32)
|
100% |
211146
277.7 IPS |
|
|
Style Transfer (F16)
|
100% |
213340
280.6 IPS |
|
|
Style Transfer (I8)
|
98% |
208220
273.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
23267
831.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
23247
830.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
17835
637.0 IPS |
|
|
Text Classification (F32)
|
100% |
3517
5.06 KIPS |
|
|
Text Classification (F16)
|
100% |
3448
4.96 KIPS |
|
|
Text Classification (I8)
|
98% |
1962
2.82 KIPS |
|
|
Machine Translation (F32)
|
100% |
4094
75.4 IPS |
|
|
Machine Translation (F16)
|
100% |
4183
77.0 IPS |
|
|
Machine Translation (I8)
|
70% |
2257
41.5 IPS |
