ASUSTeK COMPUTER INC. ASUS Vivobook S 14 S5406SA_Q423SA
Geekbench ML Score
2988
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 12 2024 05:44 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% |
1549
289.8 IPS |
|
|
Image Classification (F16)
|
100% |
1527
285.7 IPS |
|
|
Image Classification (I8)
|
99% |
2626
491.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1276
21.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1288
21.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
2319
38.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
4409
5.34 IPS |
|
|
Pose Estimation (F16)
|
100% |
4337
5.25 IPS |
|
|
Pose Estimation (I8)
|
100% |
16069
19.5 IPS |
|
|
Object Detection (F32)
|
100% |
1532
114.4 IPS |
|
|
Object Detection (F16)
|
100% |
1592
118.9 IPS |
|
|
Object Detection (I8)
|
62% |
1531
114.3 IPS |
|
|
Face Detection (F32)
|
100% |
3550
42.2 IPS |
|
|
Face Detection (F16)
|
100% |
3382
40.2 IPS |
|
|
Face Detection (I8)
|
89% |
3796
45.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
5301
41.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
5258
40.8 IPS |
|
|
Depth Estimation (I8)
|
96% |
9931
77.0 IPS |
|
|
Style Transfer (F32)
|
100% |
11057
14.5 IPS |
|
|
Style Transfer (F16)
|
100% |
11107
14.6 IPS |
|
|
Style Transfer (I8)
|
98% |
19245
25.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2305
82.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2322
82.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4118
147.1 IPS |
|
|
Text Classification (F32)
|
100% |
1157
1.66 KIPS |
|
|
Text Classification (F16)
|
100% |
1175
1.69 KIPS |
|
|
Text Classification (I8)
|
98% |
1015
1.46 KIPS |
|
|
Machine Translation (F32)
|
100% |
1717
31.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1765
32.5 IPS |
|
|
Machine Translation (I8)
|
67% |
2458
45.2 IPS |
