ASUSTeK COMPUTER INC. ASUS Zenbook S 14 UX5406SA_UX5406SA
Geekbench AI Score
2062
Single Precision Score
1139
Half Precision Score
3502
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | skikitt |
| Upload Date | September 26 2024 02:47 PM |
| Views | 3 |
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% |
1261
234.6 IPS |
|
|
Image Classification (HP)
|
100% |
475
88.4 IPS |
|
|
Image Classification (Q)
|
99% |
2458
458.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1173
19.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
777
12.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2367
38.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2996
3.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
2437
2.84 IPS |
|
|
Pose Estimation (Q)
|
95% |
11215
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
1335
105.9 IPS |
|
|
Object Detection (HP)
|
100% |
543
43.1 IPS |
|
|
Object Detection (Q)
|
88% |
1411
113.1 IPS |
|
|
Face Detection (SP)
|
100% |
2801
33.3 IPS |
|
|
Face Detection (HP)
|
100% |
1385
16.5 IPS |
|
|
Face Detection (Q)
|
97% |
3529
42.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3843
29.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1724
13.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
5635
45.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7471
9.60 IPS |
|
|
Style Transfer (HP)
|
100% |
6078
7.81 IPS |
|
|
Style Transfer (Q)
|
98% |
14927
19.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1549
57.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1278
47.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3331
123.3 IPS |
|
|
Text Classification (SP)
|
100% |
1099
1.47 KIPS |
|
|
Text Classification (HP)
|
100% |
599
800.2 IPS |
|
|
Text Classification (Q)
|
97% |
1513
2.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
1718
29.6 IPS |
|
|
Machine Translation (HP)
|
100% |
681
11.7 IPS |
|
|
Machine Translation (Q)
|
60% |
2020
45.1 IPS |
