ASUSTeK COMPUTER INC. ASUS Zenbook S 14 UX5406SA_UX5406SA
Geekbench AI Score
1828
Single Precision Score
1016
Half Precision Score
4522
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | urostor |
| Upload Date | December 10 2024 11:04 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 258V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Zenbook S 14 UX5406SA_UX5406SA |
| Motherboard | ASUSTeK COMPUTER INC. UX5406SA |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 258V |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1783
331.6 IPS |
|
|
Image Classification (HP)
|
100% |
769
143.0 IPS |
|
|
Image Classification (Q)
|
100% |
4781
889.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1939
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
968
15.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4454
72.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3232
3.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
1339
1.56 IPS |
|
|
Pose Estimation (Q)
|
96% |
6342
7.43 IPS |
|
|
Object Detection (SP)
|
100% |
862
68.3 IPS |
|
|
Object Detection (HP)
|
100% |
426
33.8 IPS |
|
|
Object Detection (Q)
|
88% |
2501
200.5 IPS |
|
|
Face Detection (SP)
|
100% |
2719
32.3 IPS |
|
|
Face Detection (HP)
|
100% |
1162
13.8 IPS |
|
|
Face Detection (Q)
|
100% |
6445
76.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2139
16.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1170
9.02 IPS |
|
|
Depth Estimation (Q)
|
89% |
6641
51.6 IPS |
|
|
Style Transfer (SP)
|
100% |
4716
6.06 IPS |
|
|
Style Transfer (HP)
|
100% |
3180
4.09 IPS |
|
|
Style Transfer (Q)
|
98% |
17631
22.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
977
36.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
663
24.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3460
128.1 IPS |
|
|
Text Classification (SP)
|
100% |
1110
1.48 KIPS |
|
|
Text Classification (HP)
|
100% |
846
1.13 KIPS |
|
|
Text Classification (Q)
|
92% |
2812
3.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
1462
25.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1147
19.8 IPS |
|
|
Machine Translation (Q)
|
100% |
1444
24.9 IPS |
