ASUSTeK COMPUTER INC. ASUS Zenbook S 16 UM5606WA_UM5606WA
Geekbench ML Score
3274
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 02 2024 07:40 AM |
| 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 | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 365 w/ Radeon 880M |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| L1 Instruction Cache | 32.0 KB x 10 |
| L1 Data Cache | 48.0 KB x 10 |
| L2 Cache | 1.00 MB x 10 |
| L3 Cache | 8.00 MB x 2 |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1303
243.8 IPS |
|
|
Image Classification (F16)
|
100% |
1278
239.2 IPS |
|
|
Image Classification (I8)
|
99% |
3559
666.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
850
14.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
847
14.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
2544
42.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
6222
7.53 IPS |
|
|
Pose Estimation (F16)
|
100% |
6193
7.50 IPS |
|
|
Pose Estimation (I8)
|
100% |
22609
27.4 IPS |
|
|
Object Detection (F32)
|
100% |
1469
109.7 IPS |
|
|
Object Detection (F16)
|
100% |
1478
110.3 IPS |
|
|
Object Detection (I8)
|
62% |
1719
128.4 IPS |
|
|
Face Detection (F32)
|
100% |
3082
36.7 IPS |
|
|
Face Detection (F16)
|
100% |
3097
36.8 IPS |
|
|
Face Detection (I8)
|
89% |
5146
61.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
6148
47.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
6147
47.7 IPS |
|
|
Depth Estimation (I8)
|
96% |
14434
111.9 IPS |
|
|
Style Transfer (F32)
|
100% |
13718
18.0 IPS |
|
|
Style Transfer (F16)
|
100% |
13728
18.1 IPS |
|
|
Style Transfer (I8)
|
98% |
26254
34.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2519
90.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2529
90.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4119
147.1 IPS |
|
|
Text Classification (F32)
|
100% |
1290
1.85 KIPS |
|
|
Text Classification (F16)
|
100% |
1288
1.85 KIPS |
|
|
Text Classification (I8)
|
98% |
1139
1.64 KIPS |
|
|
Machine Translation (F32)
|
100% |
2264
41.7 IPS |
|
|
Machine Translation (F16)
|
100% |
2240
41.2 IPS |
|
|
Machine Translation (I8)
|
67% |
2410
44.4 IPS |
