ASUSTeK COMPUTER INC. ASUS Vivobook S 16 M5606UA_M5606UA
Geekbench ML Score
1520
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 20 2024 08:14 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook S 16 M5606UA_M5606UA |
| Motherboard | ASUSTeK COMPUTER INC. M5606UA |
| Power Plan | Gebalanceerd |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8845HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 1.00 MB x 8 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
816
152.6 IPS |
|
|
Image Classification (F16)
|
100% |
766
143.4 IPS |
|
|
Image Classification (I8)
|
99% |
2260
422.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
574
9.58 IPS |
|
|
Image Segmentation (F16)
|
100% |
599
10.00 IPS |
|
|
Image Segmentation (I8)
|
98% |
1133
18.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
2187
2.65 IPS |
|
|
Pose Estimation (F16)
|
100% |
2207
2.67 IPS |
|
|
Pose Estimation (I8)
|
100% |
11030
13.4 IPS |
|
|
Object Detection (F32)
|
100% |
659
49.2 IPS |
|
|
Object Detection (F16)
|
100% |
666
49.8 IPS |
|
|
Object Detection (I8)
|
62% |
715
53.4 IPS |
|
|
Face Detection (F32)
|
100% |
1932
23.0 IPS |
|
|
Face Detection (F16)
|
100% |
1897
22.6 IPS |
|
|
Face Detection (I8)
|
89% |
1962
23.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
2538
19.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
2550
19.8 IPS |
|
|
Depth Estimation (I8)
|
96% |
6874
53.3 IPS |
|
|
Style Transfer (F32)
|
100% |
5251
6.91 IPS |
|
|
Style Transfer (F16)
|
100% |
5238
6.89 IPS |
|
|
Style Transfer (I8)
|
98% |
9357
12.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1027
36.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
981
35.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
1561
55.7 IPS |
|
|
Text Classification (F32)
|
100% |
788
1.13 KIPS |
|
|
Text Classification (F16)
|
100% |
791
1.14 KIPS |
|
|
Text Classification (I8)
|
98% |
186
266.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1170
21.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1161
21.4 IPS |
|
|
Machine Translation (I8)
|
67% |
1526
28.1 IPS |
