ASUSTeK COMPUTER INC. ASUS Zenbook S 16 UM5606WA_UM5606WA
Geekbench ML Score
3344
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 13 2024 09:16 AM |
| 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% |
1293
241.9 IPS |
|
|
Image Classification (F16)
|
100% |
1295
242.2 IPS |
|
|
Image Classification (I8)
|
99% |
3635
680.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
967
16.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
290
4.84 IPS |
|
|
Image Segmentation (I8)
|
98% |
2674
44.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
7412
8.98 IPS |
|
|
Pose Estimation (F16)
|
100% |
7456
9.03 IPS |
|
|
Pose Estimation (I8)
|
100% |
25370
30.7 IPS |
|
|
Object Detection (F32)
|
100% |
1482
110.6 IPS |
|
|
Object Detection (F16)
|
100% |
1462
109.1 IPS |
|
|
Object Detection (I8)
|
62% |
1748
130.5 IPS |
|
|
Face Detection (F32)
|
100% |
3196
38.0 IPS |
|
|
Face Detection (F16)
|
100% |
3205
38.1 IPS |
|
|
Face Detection (I8)
|
89% |
5459
64.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
6444
50.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
6471
50.2 IPS |
|
|
Depth Estimation (I8)
|
96% |
15405
119.5 IPS |
|
|
Style Transfer (F32)
|
100% |
15922
20.9 IPS |
|
|
Style Transfer (F16)
|
100% |
15664
20.6 IPS |
|
|
Style Transfer (I8)
|
98% |
27970
36.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2736
97.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2769
98.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4147
148.1 IPS |
|
|
Text Classification (F32)
|
100% |
1344
1.93 KIPS |
|
|
Text Classification (F16)
|
100% |
1339
1.92 KIPS |
|
|
Text Classification (I8)
|
98% |
1161
1.67 KIPS |
|
|
Machine Translation (F32)
|
100% |
1879
34.6 IPS |
|
|
Machine Translation (F16)
|
100% |
2272
41.8 IPS |
|
|
Machine Translation (I8)
|
67% |
3153
58.0 IPS |
