ASUSTeK COMPUTER INC. ASUS Vivobook S 16 S5606MA_S5606MA
Geekbench ML Score
2828
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 19 2024 09:55 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook S 16 S5606MA_S5606MA |
| Motherboard | ASUSTeK COMPUTER INC. S5606MA |
| Power Plan | Ausbalanciert |
| 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 22 |
| L1 Data Cache | 32.0 KB x 22 |
| 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 | DirectML |
| Device | Intel(R) Arc(TM) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1222
228.7 IPS |
|
|
Image Classification (F16)
|
100% |
1302
243.7 IPS |
|
|
Image Classification (I8)
|
100% |
1172
219.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1460
24.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1393
23.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
1262
21.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
13653
16.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
13845
16.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
11993
14.5 IPS |
|
|
Object Detection (F32)
|
100% |
1125
84.0 IPS |
|
|
Object Detection (F16)
|
100% |
1156
86.3 IPS |
|
|
Object Detection (I8)
|
54% |
1039
77.5 IPS |
|
|
Face Detection (F32)
|
100% |
1291
15.4 IPS |
|
|
Face Detection (F16)
|
100% |
1288
15.3 IPS |
|
|
Face Detection (I8)
|
89% |
1142
13.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
7514
58.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
7477
58.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
6112
47.4 IPS |
|
|
Style Transfer (F32)
|
100% |
39844
52.4 IPS |
|
|
Style Transfer (F16)
|
100% |
39658
52.2 IPS |
|
|
Style Transfer (I8)
|
98% |
31648
41.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6421
229.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5842
208.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4484
160.1 IPS |
|
|
Text Classification (F32)
|
90% |
719
1.03 KIPS |
|
|
Text Classification (F16)
|
90% |
710
1.02 KIPS |
|
|
Text Classification (I8)
|
90% |
546
785.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1362
25.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1379
25.4 IPS |
|
|
Machine Translation (I8)
|
70% |
837
15.4 IPS |
