ASUSTeK COMPUTER INC. ASUS Zenbook S 14 UX5406SA_UX5406SA
Geekbench ML Score
5356
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 18 2024 12:16 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Zenbook S 14 UX5406SA_UX5406SA |
| Motherboard | ASUSTeK COMPUTER INC. UX5406SA |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 256V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.20 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 | 12.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) 140V GPU (8GB) |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2644
494.7 IPS |
|
|
Image Classification (F16)
|
100% |
2956
553.1 IPS |
|
|
Image Classification (I8)
|
100% |
2176
407.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
5871
98.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
5864
97.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
4405
73.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
19667
23.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
20042
24.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
16794
20.3 IPS |
|
|
Object Detection (F32)
|
100% |
2846
212.5 IPS |
|
|
Object Detection (F16)
|
100% |
2879
214.9 IPS |
|
|
Object Detection (I8)
|
61% |
2361
176.3 IPS |
|
|
Face Detection (F32)
|
100% |
7726
91.9 IPS |
|
|
Face Detection (F16)
|
100% |
7674
91.2 IPS |
|
|
Face Detection (I8)
|
89% |
5523
65.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
17067
132.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
16899
131.0 IPS |
|
|
Depth Estimation (I8)
|
94% |
14246
110.5 IPS |
|
|
Style Transfer (F32)
|
100% |
47088
61.9 IPS |
|
|
Style Transfer (F16)
|
100% |
46480
61.1 IPS |
|
|
Style Transfer (I8)
|
98% |
38267
50.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7070
252.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8157
291.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5238
187.1 IPS |
|
|
Text Classification (F32)
|
100% |
865
1.24 KIPS |
|
|
Text Classification (F16)
|
100% |
844
1.21 KIPS |
|
|
Text Classification (I8)
|
98% |
447
641.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1583
29.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1488
27.4 IPS |
|
|
Machine Translation (I8)
|
70% |
850
15.7 IPS |
