ASUSTeK COMPUTER INC. ASUS Vivobook S 14 S5406SA_Q423SA
Geekbench ML Score
4329
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 12 2024 05:57 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 | DirectML |
| Device | Intel(R) Arc(TM) 130V GPU (8GB) |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3141
587.7 IPS |
|
|
Image Classification (F16)
|
100% |
2358
441.2 IPS |
|
|
Image Classification (I8)
|
100% |
2065
386.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
4661
77.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
4660
77.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
3584
59.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
15148
18.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
14859
18.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
12300
14.9 IPS |
|
|
Object Detection (F32)
|
100% |
2484
185.5 IPS |
|
|
Object Detection (F16)
|
100% |
2367
176.7 IPS |
|
|
Object Detection (I8)
|
61% |
2136
159.5 IPS |
|
|
Face Detection (F32)
|
100% |
6830
81.2 IPS |
|
|
Face Detection (F16)
|
100% |
6118
72.7 IPS |
|
|
Face Detection (I8)
|
89% |
4299
51.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
13065
101.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
14392
111.6 IPS |
|
|
Depth Estimation (I8)
|
94% |
10796
83.7 IPS |
|
|
Style Transfer (F32)
|
100% |
35471
46.7 IPS |
|
|
Style Transfer (F16)
|
100% |
35681
46.9 IPS |
|
|
Style Transfer (I8)
|
98% |
28167
37.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5303
189.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5592
199.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3287
117.4 IPS |
|
|
Text Classification (F32)
|
100% |
552
793.2 IPS |
|
|
Text Classification (F16)
|
100% |
743
1.07 KIPS |
|
|
Text Classification (I8)
|
98% |
400
575.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1364
25.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1378
25.4 IPS |
|
|
Machine Translation (I8)
|
70% |
767
14.1 IPS |
