ASUSTeK COMPUTER INC. ASUS Zenbook S 14 UX5406SA_UX5406SA
Geekbench AI Score
16582
Single Precision Score
16838
Half Precision Score
22823
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | TechnoCat |
| Upload Date | October 04 2024 03:00 AM |
| Views | 3 |
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% |
11824
2.20 KIPS |
|
|
Image Classification (HP)
|
100% |
11471
2.13 KIPS |
|
|
Image Classification (Q)
|
100% |
14231
2.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5004
81.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5032
81.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
6998
113.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
95850
111.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
96516
112.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
194264
227.6 IPS |
|
|
Object Detection (SP)
|
98% |
11557
919.6 IPS |
|
|
Object Detection (HP)
|
100% |
11275
894.3 IPS |
|
|
Object Detection (Q)
|
87% |
15858
1.27 KIPS |
|
|
Face Detection (SP)
|
100% |
22401
266.2 IPS |
|
|
Face Detection (HP)
|
100% |
22953
272.7 IPS |
|
|
Face Detection (Q)
|
100% |
39720
472.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
59423
457.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
59655
459.6 IPS |
|
|
Depth Estimation (Q)
|
80% |
84580
670.0 IPS |
|
|
Style Transfer (SP)
|
100% |
202975
260.9 IPS |
|
|
Style Transfer (HP)
|
100% |
195508
251.3 IPS |
|
|
Style Transfer (Q)
|
98% |
292152
376.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24691
911.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29772
1.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38729
1.43 KIPS |
|
|
Text Classification (SP)
|
100% |
1634
2.18 KIPS |
|
|
Text Classification (HP)
|
100% |
1671
2.23 KIPS |
|
|
Text Classification (Q)
|
92% |
1760
2.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
2201
37.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2190
37.7 IPS |
|
|
Machine Translation (Q)
|
89% |
1869
32.5 IPS |
