ASUSTeK COMPUTER INC. ProArt P16 H7606WI_H7606WI
Geekbench ML Score
3654
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 05 2024 12:42 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ProArt P16 H7606WI_H7606WI |
| Motherboard | ASUSTeK COMPUTER INC. H7606WI |
| Power Plan | Standard |
| 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 | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1329
248.8 IPS |
|
|
Image Classification (F16)
|
100% |
1322
247.3 IPS |
|
|
Image Classification (I8)
|
99% |
3772
705.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
908
15.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
895
14.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
2999
50.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
8039
9.74 IPS |
|
|
Pose Estimation (F16)
|
100% |
7990
9.68 IPS |
|
|
Pose Estimation (I8)
|
100% |
27450
33.2 IPS |
|
|
Object Detection (F32)
|
100% |
1521
113.5 IPS |
|
|
Object Detection (F16)
|
100% |
1519
113.4 IPS |
|
|
Object Detection (I8)
|
62% |
1791
133.7 IPS |
|
|
Face Detection (F32)
|
100% |
3241
38.5 IPS |
|
|
Face Detection (F16)
|
100% |
3294
39.2 IPS |
|
|
Face Detection (I8)
|
89% |
6197
73.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
6777
52.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
6712
52.1 IPS |
|
|
Depth Estimation (I8)
|
96% |
16116
125.0 IPS |
|
|
Style Transfer (F32)
|
100% |
16739
22.0 IPS |
|
|
Style Transfer (F16)
|
100% |
16935
22.3 IPS |
|
|
Style Transfer (I8)
|
98% |
30148
39.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2878
102.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2839
101.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4423
157.9 IPS |
|
|
Text Classification (F32)
|
100% |
1268
1.82 KIPS |
|
|
Text Classification (F16)
|
100% |
1427
2.05 KIPS |
|
|
Text Classification (I8)
|
98% |
1208
1.74 KIPS |
|
|
Machine Translation (F32)
|
100% |
2430
44.7 IPS |
|
|
Machine Translation (F16)
|
100% |
2458
45.2 IPS |
|
|
Machine Translation (I8)
|
67% |
3325
61.2 IPS |
