ASUSTeK COMPUTER INC. ASUS Zenbook S 16 UM5606WA_UM5606WA
Geekbench ML Score
3427
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 30 2024 04:14 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Zenbook S 16 UM5606WA_UM5606WA |
| Motherboard | ASUSTeK COMPUTER INC. UM5606WA |
| Power Plan | Rovnovha |
| 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 | 5.33 MB x 3 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1245
232.9 IPS |
|
|
Image Classification (F16)
|
100% |
1279
239.3 IPS |
|
|
Image Classification (I8)
|
99% |
3548
664.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
935
15.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
954
15.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
2566
42.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
7185
8.70 IPS |
|
|
Pose Estimation (F16)
|
100% |
7092
8.59 IPS |
|
|
Pose Estimation (I8)
|
100% |
24476
29.6 IPS |
|
|
Object Detection (F32)
|
100% |
1412
105.4 IPS |
|
|
Object Detection (F16)
|
100% |
1464
109.3 IPS |
|
|
Object Detection (I8)
|
62% |
1731
129.2 IPS |
|
|
Face Detection (F32)
|
100% |
3167
37.7 IPS |
|
|
Face Detection (F16)
|
100% |
3159
37.6 IPS |
|
|
Face Detection (I8)
|
89% |
5373
63.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
6306
48.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
6336
49.1 IPS |
|
|
Depth Estimation (I8)
|
96% |
15132
117.3 IPS |
|
|
Style Transfer (F32)
|
100% |
15285
20.1 IPS |
|
|
Style Transfer (F16)
|
100% |
15192
20.0 IPS |
|
|
Style Transfer (I8)
|
98% |
27172
35.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2696
96.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2716
97.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4098
146.3 IPS |
|
|
Text Classification (F32)
|
100% |
1326
1.91 KIPS |
|
|
Text Classification (F16)
|
100% |
1320
1.90 KIPS |
|
|
Text Classification (I8)
|
98% |
1138
1.64 KIPS |
|
|
Machine Translation (F32)
|
100% |
2248
41.4 IPS |
|
|
Machine Translation (F16)
|
100% |
2271
41.8 IPS |
|
|
Machine Translation (I8)
|
67% |
3095
57.0 IPS |
