ASUSTeK COMPUTER INC. ASUS Vivobook S 15 S5506MA_S5506MA
Geekbench ML Score
2184
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 05 2024 01:44 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook S 15 S5506MA_S5506MA |
| Motherboard | ASUSTeK COMPUTER INC. S5506MA |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| L1 Instruction Cache | 64.0 KB x 11 |
| L1 Data Cache | 48.0 KB x 11 |
| L2 Cache | 2.00 MB x 2 |
| L3 Cache | 24.0 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% |
1436
268.7 IPS |
|
|
Image Classification (F16)
|
100% |
884
165.4 IPS |
|
|
Image Classification (I8)
|
99% |
1757
328.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
932
15.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
710
11.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
1542
25.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
3902
4.73 IPS |
|
|
Pose Estimation (F16)
|
100% |
4437
5.37 IPS |
|
|
Pose Estimation (I8)
|
100% |
16573
20.1 IPS |
|
|
Object Detection (F32)
|
100% |
993
74.1 IPS |
|
|
Object Detection (F16)
|
100% |
1009
75.3 IPS |
|
|
Object Detection (I8)
|
62% |
1148
85.7 IPS |
|
|
Face Detection (F32)
|
100% |
2287
27.2 IPS |
|
|
Face Detection (F16)
|
100% |
2373
28.2 IPS |
|
|
Face Detection (I8)
|
89% |
2752
32.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
3234
25.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
4136
32.1 IPS |
|
|
Depth Estimation (I8)
|
96% |
9938
77.1 IPS |
|
|
Style Transfer (F32)
|
100% |
9100
12.0 IPS |
|
|
Style Transfer (F16)
|
100% |
8876
11.7 IPS |
|
|
Style Transfer (I8)
|
98% |
14721
19.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2060
73.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1779
63.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3115
111.3 IPS |
|
|
Text Classification (F32)
|
100% |
961
1.38 KIPS |
|
|
Text Classification (F16)
|
100% |
987
1.42 KIPS |
|
|
Text Classification (I8)
|
98% |
362
520.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1029
18.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1040
19.1 IPS |
|
|
Machine Translation (I8)
|
67% |
2045
37.6 IPS |
