ASUSTeK COMPUTER INC. ASUS Zenbook S 14 UX5406SA_UX5406SA
Geekbench AI Score
2087
Single Precision Score
1145
Half Precision Score
3499
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | skikitt |
| Upload Date | October 01 2024 10:07 AM |
| Views | 15 |
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 | 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% |
1263
234.8 IPS |
|
|
Image Classification (HP)
|
100% |
485
90.2 IPS |
|
|
Image Classification (Q)
|
99% |
2459
458.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1211
19.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
816
13.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2373
38.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2990
3.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
2434
2.84 IPS |
|
|
Pose Estimation (Q)
|
95% |
11085
13.0 IPS |
|
|
Object Detection (SP)
|
100% |
1311
104.0 IPS |
|
|
Object Detection (HP)
|
100% |
569
45.1 IPS |
|
|
Object Detection (Q)
|
88% |
1498
120.1 IPS |
|
|
Face Detection (SP)
|
100% |
2903
34.5 IPS |
|
|
Face Detection (HP)
|
100% |
1317
15.6 IPS |
|
|
Face Detection (Q)
|
97% |
3489
41.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3840
29.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1757
13.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
5654
45.3 IPS |
|
|
Style Transfer (SP)
|
100% |
7546
9.70 IPS |
|
|
Style Transfer (HP)
|
100% |
6130
7.88 IPS |
|
|
Style Transfer (Q)
|
98% |
15132
19.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1613
59.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1289
47.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3227
119.5 IPS |
|
|
Text Classification (SP)
|
100% |
1118
1.49 KIPS |
|
|
Text Classification (HP)
|
100% |
609
812.7 IPS |
|
|
Text Classification (Q)
|
97% |
1513
2.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
1724
29.7 IPS |
|
|
Machine Translation (HP)
|
100% |
639
11.0 IPS |
|
|
Machine Translation (Q)
|
60% |
1949
43.5 IPS |
