ASUSTeK COMPUTER INC. ASUS Zenbook S 14 UX5406SA_UX5406SA
Geekbench AI Score
18269
Single Precision Score
18379
Half Precision Score
25094
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | TechnoCat |
| Upload Date | October 04 2024 08:14 AM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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 |
| 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% |
11452
2.13 KIPS |
|
|
Image Classification (HP)
|
100% |
12049
2.24 KIPS |
|
|
Image Classification (Q)
|
100% |
16871
3.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4872
79.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4834
78.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
7267
117.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
99633
116.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
98488
114.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
191869
224.8 IPS |
|
|
Object Detection (SP)
|
98% |
13837
1.10 KIPS |
|
|
Object Detection (HP)
|
100% |
13771
1.09 KIPS |
|
|
Object Detection (Q)
|
87% |
18637
1.50 KIPS |
|
|
Face Detection (SP)
|
100% |
26165
310.9 IPS |
|
|
Face Detection (HP)
|
100% |
26184
311.1 IPS |
|
|
Face Detection (Q)
|
100% |
46359
550.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
64931
500.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
64694
498.4 IPS |
|
|
Depth Estimation (Q)
|
80% |
96926
767.8 IPS |
|
|
Style Transfer (SP)
|
100% |
208104
267.5 IPS |
|
|
Style Transfer (HP)
|
100% |
209024
268.7 IPS |
|
|
Style Transfer (Q)
|
98% |
292367
377.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32779
1.21 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
31172
1.15 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44301
1.64 KIPS |
|
|
Text Classification (SP)
|
100% |
1978
2.64 KIPS |
|
|
Text Classification (HP)
|
100% |
2091
2.79 KIPS |
|
|
Text Classification (Q)
|
92% |
2046
2.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
2349
40.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2413
41.6 IPS |
|
|
Machine Translation (Q)
|
89% |
1897
33.0 IPS |
