ASUSTeK COMPUTER INC. ASUS Zenbook S 16 UM5606WA_UM5606WA
Geekbench ML Score
3321
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 17 2024 01:24 AM |
| Views | 3 |
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 | Balanced |
| 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% |
1315
246.1 IPS |
|
|
Image Classification (F16)
|
100% |
1273
238.1 IPS |
|
|
Image Classification (I8)
|
99% |
3645
682.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
857
14.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
897
15.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
2616
43.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
6601
7.99 IPS |
|
|
Pose Estimation (F16)
|
100% |
6619
8.02 IPS |
|
|
Pose Estimation (I8)
|
100% |
23954
29.0 IPS |
|
|
Object Detection (F32)
|
100% |
1493
111.5 IPS |
|
|
Object Detection (F16)
|
100% |
1501
112.1 IPS |
|
|
Object Detection (I8)
|
62% |
1776
132.6 IPS |
|
|
Face Detection (F32)
|
100% |
3018
35.9 IPS |
|
|
Face Detection (F16)
|
100% |
3048
36.2 IPS |
|
|
Face Detection (I8)
|
89% |
5106
60.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
6224
48.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
6191
48.0 IPS |
|
|
Depth Estimation (I8)
|
96% |
14629
113.5 IPS |
|
|
Style Transfer (F32)
|
100% |
13281
17.5 IPS |
|
|
Style Transfer (F16)
|
100% |
13574
17.9 IPS |
|
|
Style Transfer (I8)
|
98% |
26091
34.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2483
88.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2549
91.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4018
143.5 IPS |
|
|
Text Classification (F32)
|
100% |
1311
1.88 KIPS |
|
|
Text Classification (F16)
|
100% |
1296
1.86 KIPS |
|
|
Text Classification (I8)
|
98% |
1142
1.64 KIPS |
|
|
Machine Translation (F32)
|
100% |
2091
38.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2110
38.8 IPS |
|
|
Machine Translation (I8)
|
67% |
3153
58.0 IPS |
