ASUSTeK COMPUTER INC. ProArt P16 H7606WV_H7606WV
Geekbench ML Score
3518
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 10 2024 05:37 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ProArt P16 H7606WV_H7606WV |
| Motherboard | ASUSTeK COMPUTER INC. H7606WV |
| Power Plan | Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 HX 370 w/ Radeon 890M |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 12 |
| L1 Data Cache | 48.0 KB x 12 |
| L2 Cache | 1.00 MB x 12 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1276
238.8 IPS |
|
|
Image Classification (F16)
|
100% |
1273
238.3 IPS |
|
|
Image Classification (I8)
|
99% |
3588
671.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
880
14.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
915
15.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
2803
46.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
7647
9.26 IPS |
|
|
Pose Estimation (F16)
|
100% |
7458
9.03 IPS |
|
|
Pose Estimation (I8)
|
100% |
27831
33.7 IPS |
|
|
Object Detection (F32)
|
100% |
1464
109.3 IPS |
|
|
Object Detection (F16)
|
100% |
1443
107.7 IPS |
|
|
Object Detection (I8)
|
62% |
1750
130.6 IPS |
|
|
Face Detection (F32)
|
100% |
3159
37.6 IPS |
|
|
Face Detection (F16)
|
100% |
3145
37.4 IPS |
|
|
Face Detection (I8)
|
89% |
5972
71.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
6408
49.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
6312
48.9 IPS |
|
|
Depth Estimation (I8)
|
96% |
15562
120.7 IPS |
|
|
Style Transfer (F32)
|
100% |
15978
21.0 IPS |
|
|
Style Transfer (F16)
|
100% |
15936
21.0 IPS |
|
|
Style Transfer (I8)
|
98% |
29246
38.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2793
99.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2563
91.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4225
150.9 IPS |
|
|
Text Classification (F32)
|
100% |
1364
1.96 KIPS |
|
|
Text Classification (F16)
|
100% |
1381
1.98 KIPS |
|
|
Text Classification (I8)
|
98% |
1156
1.66 KIPS |
|
|
Machine Translation (F32)
|
100% |
2313
42.6 IPS |
|
|
Machine Translation (F16)
|
100% |
2275
41.9 IPS |
|
|
Machine Translation (I8)
|
67% |
3299
60.7 IPS |
