ASUSTeK COMPUTER INC. ASUS Zenbook S 14 UX5406SA_UX5406SA
Geekbench AI Score
8022
Single Precision Score
20363
Half Precision Score
23142
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 28 2024 07:06 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) 130V 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 |
| 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 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5361
997.0 IPS |
|
|
Image Classification (HP)
|
100% |
10214
1.90 KIPS |
|
|
Image Classification (Q)
|
100% |
13295
2.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6143
99.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
12106
196.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
13608
220.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
19884
23.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
109146
127.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
206925
242.3 IPS |
|
|
Object Detection (SP)
|
100% |
5166
409.8 IPS |
|
|
Object Detection (HP)
|
100% |
11436
907.1 IPS |
|
|
Object Detection (Q)
|
88% |
13340
1.07 KIPS |
|
|
Face Detection (SP)
|
100% |
11626
138.1 IPS |
|
|
Face Detection (HP)
|
100% |
27354
325.0 IPS |
|
|
Face Detection (Q)
|
100% |
34896
414.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
18007
138.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
48771
375.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
58038
451.3 IPS |
|
|
Style Transfer (SP)
|
100% |
43366
55.7 IPS |
|
|
Style Transfer (HP)
|
100% |
131140
168.6 IPS |
|
|
Style Transfer (Q)
|
98% |
126777
163.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8462
312.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25916
957.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25459
942.9 IPS |
|
|
Text Classification (SP)
|
100% |
2903
3.87 KIPS |
|
|
Text Classification (HP)
|
100% |
4338
5.79 KIPS |
|
|
Text Classification (Q)
|
92% |
3253
4.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
1464
25.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4039
69.6 IPS |
|
|
Machine Translation (Q)
|
100% |
4149
71.5 IPS |
