ASUS System Product Name
Geekbench ML Score
21083
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 04 2024 11:15 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% |
12234
2.29 KIPS |
|
|
Image Classification (F16)
|
100% |
12211
2.29 KIPS |
|
|
Image Classification (I8)
|
100% |
9972
1.87 KIPS |
|
|
Image Segmentation (F32)
|
100% |
13663
228.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
13518
225.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
12929
215.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
220112
266.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
221410
268.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
211222
255.8 IPS |
|
|
Object Detection (F32)
|
100% |
5194
387.8 IPS |
|
|
Object Detection (F16)
|
100% |
5427
405.2 IPS |
|
|
Object Detection (I8)
|
56% |
5135
383.3 IPS |
|
|
Face Detection (F32)
|
100% |
40067
476.4 IPS |
|
|
Face Detection (F16)
|
100% |
39842
473.7 IPS |
|
|
Face Detection (I8)
|
88% |
34087
405.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
64715
501.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
67534
523.7 IPS |
|
|
Depth Estimation (I8)
|
95% |
52050
403.6 IPS |
|
|
Style Transfer (F32)
|
100% |
223099
293.5 IPS |
|
|
Style Transfer (F16)
|
100% |
221816
291.8 IPS |
|
|
Style Transfer (I8)
|
98% |
211248
277.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
23279
831.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
22403
800.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
16976
606.3 IPS |
|
|
Text Classification (F32)
|
100% |
3407
4.90 KIPS |
|
|
Text Classification (F16)
|
100% |
3379
4.86 KIPS |
|
|
Text Classification (I8)
|
98% |
1915
2.75 KIPS |
|
|
Machine Translation (F32)
|
100% |
4169
76.7 IPS |
|
|
Machine Translation (F16)
|
100% |
4016
73.9 IPS |
|
|
Machine Translation (I8)
|
70% |
2331
42.9 IPS |
