ASUS System Product Name
Geekbench ML Score
22329
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | December 23 2024 09:24 AM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E HERO |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.50 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 | 32.0 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% |
12462
2.33 KIPS |
|
|
Image Classification (F16)
|
100% |
12359
2.31 KIPS |
|
|
Image Classification (I8)
|
100% |
10101
1.89 KIPS |
|
|
Image Segmentation (F32)
|
100% |
14760
246.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
14464
241.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
13692
228.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
250339
303.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
250225
303.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
222778
269.8 IPS |
|
|
Object Detection (F32)
|
100% |
6631
495.1 IPS |
|
|
Object Detection (F16)
|
100% |
7505
560.3 IPS |
|
|
Object Detection (I8)
|
56% |
6371
475.7 IPS |
|
|
Face Detection (F32)
|
100% |
40792
485.0 IPS |
|
|
Face Detection (F16)
|
100% |
40799
485.1 IPS |
|
|
Face Detection (I8)
|
88% |
34581
411.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
66268
513.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
67281
521.8 IPS |
|
|
Depth Estimation (I8)
|
95% |
51761
401.4 IPS |
|
|
Style Transfer (F32)
|
100% |
224967
295.9 IPS |
|
|
Style Transfer (F16)
|
100% |
232189
305.4 IPS |
|
|
Style Transfer (I8)
|
98% |
208931
274.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
24017
857.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
24378
870.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
18151
648.2 IPS |
|
|
Text Classification (F32)
|
100% |
3462
4.98 KIPS |
|
|
Text Classification (F16)
|
100% |
3513
5.05 KIPS |
|
|
Text Classification (I8)
|
98% |
1933
2.78 KIPS |
|
|
Machine Translation (F32)
|
100% |
4114
75.7 IPS |
|
|
Machine Translation (F16)
|
100% |
4115
75.7 IPS |
|
|
Machine Translation (I8)
|
70% |
2373
43.7 IPS |
