ASUSTeK COMPUTER INC. ASUS Zenbook S 14 UX5406SA_UX5406SA
Geekbench AI Score
9630
Single Precision Score
23332
Half Precision Score
27163
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | skikitt |
| Upload Date | September 26 2024 03:11 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) 140V GPU (8GB) (iGPU) |
| 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 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6740
1.25 KIPS |
|
|
Image Classification (HP)
|
100% |
11929
2.22 KIPS |
|
|
Image Classification (Q)
|
100% |
14642
2.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8639
140.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18897
306.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
21415
347.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
21249
24.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
130801
152.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
239871
280.8 IPS |
|
|
Object Detection (SP)
|
100% |
6137
486.8 IPS |
|
|
Object Detection (HP)
|
100% |
13007
1.03 KIPS |
|
|
Object Detection (Q)
|
88% |
13411
1.07 KIPS |
|
|
Face Detection (SP)
|
100% |
13643
162.1 IPS |
|
|
Face Detection (HP)
|
100% |
29099
345.8 IPS |
|
|
Face Detection (Q)
|
100% |
37756
448.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
22214
171.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
56355
434.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
60704
472.1 IPS |
|
|
Style Transfer (SP)
|
100% |
45370
58.3 IPS |
|
|
Style Transfer (HP)
|
100% |
145979
187.7 IPS |
|
|
Style Transfer (Q)
|
98% |
167172
215.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8637
318.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25129
927.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27146
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
2765
3.69 KIPS |
|
|
Text Classification (HP)
|
100% |
4679
6.25 KIPS |
|
|
Text Classification (Q)
|
92% |
4298
5.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
2752
47.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4430
76.3 IPS |
|
|
Machine Translation (Q)
|
100% |
4851
83.6 IPS |
