ASUS System Product Name
Geekbench ML Score
21087
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | January 17 2025 12:35 PM |
| 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% |
11999
2.25 KIPS |
|
|
Image Classification (F16)
|
100% |
12337
2.31 KIPS |
|
|
Image Classification (I8)
|
100% |
10185
1.91 KIPS |
|
|
Image Segmentation (F32)
|
100% |
13548
226.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
13704
228.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
12646
211.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
244498
296.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
238386
288.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
207914
251.8 IPS |
|
|
Object Detection (F32)
|
100% |
5212
389.1 IPS |
|
|
Object Detection (F16)
|
100% |
5136
383.5 IPS |
|
|
Object Detection (I8)
|
56% |
4685
349.7 IPS |
|
|
Face Detection (F32)
|
100% |
38905
462.6 IPS |
|
|
Face Detection (F16)
|
100% |
39022
464.0 IPS |
|
|
Face Detection (I8)
|
88% |
33388
397.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
66627
516.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
65542
508.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
50249
389.7 IPS |
|
|
Style Transfer (F32)
|
100% |
225087
296.1 IPS |
|
|
Style Transfer (F16)
|
100% |
225450
296.6 IPS |
|
|
Style Transfer (I8)
|
98% |
203597
267.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
23687
846.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
23478
838.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
17771
634.7 IPS |
|
|
Text Classification (F32)
|
100% |
3388
4.87 KIPS |
|
|
Text Classification (F16)
|
100% |
3229
4.64 KIPS |
|
|
Text Classification (I8)
|
98% |
1946
2.80 KIPS |
|
|
Machine Translation (F32)
|
100% |
4191
77.1 IPS |
|
|
Machine Translation (F16)
|
100% |
4155
76.5 IPS |
|
|
Machine Translation (I8)
|
70% |
2322
42.7 IPS |
