ASUSTeK COMPUTER INC. ASUS Zenbook S 16 UM5606WA_UM5606WA
Geekbench ML Score
3231
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 18 2024 05:37 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Zenbook S 16 UM5606WA_UM5606WA |
| Motherboard | ASUSTeK COMPUTER INC. UM5606WA |
| Power Plan | Equilibrado |
| 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% |
1278
239.2 IPS |
|
|
Image Classification (F16)
|
100% |
1276
238.7 IPS |
|
|
Image Classification (I8)
|
99% |
3484
652.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
872
14.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
887
14.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
2561
42.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
6183
7.49 IPS |
|
|
Pose Estimation (F16)
|
100% |
6591
7.98 IPS |
|
|
Pose Estimation (I8)
|
100% |
23245
28.1 IPS |
|
|
Object Detection (F32)
|
100% |
1456
108.7 IPS |
|
|
Object Detection (F16)
|
100% |
1421
106.1 IPS |
|
|
Object Detection (I8)
|
62% |
1397
104.3 IPS |
|
|
Face Detection (F32)
|
100% |
3025
36.0 IPS |
|
|
Face Detection (F16)
|
100% |
3071
36.5 IPS |
|
|
Face Detection (I8)
|
89% |
4883
58.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
6104
47.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
5561
43.1 IPS |
|
|
Depth Estimation (I8)
|
96% |
14562
112.9 IPS |
|
|
Style Transfer (F32)
|
100% |
14532
19.1 IPS |
|
|
Style Transfer (F16)
|
100% |
14304
18.8 IPS |
|
|
Style Transfer (I8)
|
98% |
26384
34.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2511
89.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2589
92.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3930
140.4 IPS |
|
|
Text Classification (F32)
|
100% |
1302
1.87 KIPS |
|
|
Text Classification (F16)
|
100% |
1175
1.69 KIPS |
|
|
Text Classification (I8)
|
98% |
1089
1.57 KIPS |
|
|
Machine Translation (F32)
|
100% |
2066
38.0 IPS |
|
|
Machine Translation (F16)
|
100% |
2096
38.6 IPS |
|
|
Machine Translation (I8)
|
67% |
2754
50.7 IPS |
