ASUSTeK COMPUTER INC. ASUS Zenbook S 14 UX5406SA_UX5406SA
Geekbench AI Score
2932
Single Precision Score
2910
Half Precision Score
7274
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 18 2024 02:58 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 258V |
| 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 | 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% |
1864
346.6 IPS |
|
|
Image Classification (HP)
|
100% |
1847
343.5 IPS |
|
|
Image Classification (Q)
|
100% |
4979
926.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1940
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1942
31.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4082
66.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3334
3.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
3244
3.79 IPS |
|
|
Pose Estimation (Q)
|
96% |
12225
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1853
147.0 IPS |
|
|
Object Detection (HP)
|
100% |
1826
144.8 IPS |
|
|
Object Detection (Q)
|
88% |
4949
396.7 IPS |
|
|
Face Detection (SP)
|
100% |
5366
63.8 IPS |
|
|
Face Detection (HP)
|
100% |
5413
64.3 IPS |
|
|
Face Detection (Q)
|
100% |
12284
146.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4734
36.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4581
35.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
13132
102.1 IPS |
|
|
Style Transfer (SP)
|
100% |
9870
12.7 IPS |
|
|
Style Transfer (HP)
|
100% |
9641
12.4 IPS |
|
|
Style Transfer (Q)
|
98% |
34939
45.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2030
74.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2008
74.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7417
274.7 IPS |
|
|
Text Classification (SP)
|
100% |
1845
2.46 KIPS |
|
|
Text Classification (HP)
|
100% |
1866
2.49 KIPS |
|
|
Text Classification (Q)
|
92% |
3476
4.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
2243
38.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2290
39.4 IPS |
|
|
Machine Translation (Q)
|
100% |
2321
40.0 IPS |
