ASUSTeK COMPUTER INC. ASUS Vivobook S 14 S5406SA_Q423SA
Geekbench ML Score
3004
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 12 2024 05:47 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook S 14 S5406SA_Q423SA |
| Motherboard | ASUSTeK COMPUTER INC. S5406SA |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 226V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 64.0 KB x 4 |
| L1 Data Cache | 48.0 KB x 4 |
| L2 Cache | 2.50 MB x 1 |
| L3 Cache | 8.00 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% |
1550
290.0 IPS |
|
|
Image Classification (F16)
|
100% |
1530
286.4 IPS |
|
|
Image Classification (I8)
|
99% |
2750
514.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1370
22.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1375
23.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
2238
37.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
4343
5.26 IPS |
|
|
Pose Estimation (F16)
|
100% |
4364
5.28 IPS |
|
|
Pose Estimation (I8)
|
100% |
16340
19.8 IPS |
|
|
Object Detection (F32)
|
100% |
1547
115.5 IPS |
|
|
Object Detection (F16)
|
100% |
1555
116.1 IPS |
|
|
Object Detection (I8)
|
62% |
1487
111.0 IPS |
|
|
Face Detection (F32)
|
100% |
3376
40.1 IPS |
|
|
Face Detection (F16)
|
100% |
3447
41.0 IPS |
|
|
Face Detection (I8)
|
89% |
3945
46.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
5478
42.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
5209
40.4 IPS |
|
|
Depth Estimation (I8)
|
96% |
11437
88.7 IPS |
|
|
Style Transfer (F32)
|
100% |
10918
14.4 IPS |
|
|
Style Transfer (F16)
|
100% |
11101
14.6 IPS |
|
|
Style Transfer (I8)
|
98% |
18753
24.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2336
83.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2333
83.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4050
144.6 IPS |
|
|
Text Classification (F32)
|
100% |
1178
1.69 KIPS |
|
|
Text Classification (F16)
|
100% |
1141
1.64 KIPS |
|
|
Text Classification (I8)
|
98% |
999
1.44 KIPS |
|
|
Machine Translation (F32)
|
100% |
1717
31.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1758
32.3 IPS |
|
|
Machine Translation (I8)
|
67% |
2321
42.7 IPS |
