ASUSTeK COMPUTER INC. ASUS Zenbook S 14 UX5406SA_UX5406SA
Geekbench AI Score
1870
Single Precision Score
996
Half Precision Score
3194
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Johndauphine |
| Upload Date | September 28 2024 10:17 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 256V |
| 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 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% |
1213
225.6 IPS |
|
|
Image Classification (HP)
|
100% |
430
80.0 IPS |
|
|
Image Classification (Q)
|
99% |
2377
443.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1050
17.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
743
12.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2294
37.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2730
3.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
1947
2.27 IPS |
|
|
Pose Estimation (Q)
|
95% |
10321
12.1 IPS |
|
|
Object Detection (SP)
|
100% |
1191
94.5 IPS |
|
|
Object Detection (HP)
|
100% |
551
43.7 IPS |
|
|
Object Detection (Q)
|
88% |
1172
93.9 IPS |
|
|
Face Detection (SP)
|
100% |
2517
29.9 IPS |
|
|
Face Detection (HP)
|
100% |
1199
14.2 IPS |
|
|
Face Detection (Q)
|
97% |
3288
39.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3436
26.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1450
11.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
5222
41.8 IPS |
|
|
Style Transfer (SP)
|
100% |
6445
8.28 IPS |
|
|
Style Transfer (HP)
|
100% |
4965
6.38 IPS |
|
|
Style Transfer (Q)
|
98% |
12967
16.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1404
51.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1115
41.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3092
114.5 IPS |
|
|
Text Classification (SP)
|
100% |
1065
1.42 KIPS |
|
|
Text Classification (HP)
|
100% |
561
749.2 IPS |
|
|
Text Classification (Q)
|
97% |
1408
1.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
1521
26.2 IPS |
|
|
Machine Translation (HP)
|
100% |
521
8.98 IPS |
|
|
Machine Translation (Q)
|
60% |
1729
38.6 IPS |
