ASUSTeK COMPUTER INC. ASUS Zenbook S 14 UX5406SA_UX5406SA
Geekbench AI Score
2881
Single Precision Score
2884
Half Precision Score
7464
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | TechnoCat |
| Upload Date | October 04 2024 03:07 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 258V |
| 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% |
1915
356.2 IPS |
|
|
Image Classification (HP)
|
100% |
1908
354.8 IPS |
|
|
Image Classification (Q)
|
100% |
4995
928.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1942
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1939
31.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4050
65.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3272
3.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
2964
3.46 IPS |
|
|
Pose Estimation (Q)
|
96% |
11485
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1788
141.8 IPS |
|
|
Object Detection (HP)
|
100% |
1805
143.2 IPS |
|
|
Object Detection (Q)
|
88% |
4933
395.4 IPS |
|
|
Face Detection (SP)
|
100% |
5281
62.7 IPS |
|
|
Face Detection (HP)
|
100% |
5472
65.0 IPS |
|
|
Face Detection (Q)
|
100% |
12675
150.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4427
34.1 IPS |
|
|
Depth Estimation (HP)
|
100% |
4571
35.2 IPS |
|
|
Depth Estimation (Q)
|
80% |
12539
99.3 IPS |
|
|
Style Transfer (SP)
|
100% |
9219
11.9 IPS |
|
|
Style Transfer (HP)
|
100% |
9571
12.3 IPS |
|
|
Style Transfer (Q)
|
98% |
33062
42.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1964
72.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2019
74.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7281
269.6 IPS |
|
|
Text Classification (SP)
|
100% |
1850
2.47 KIPS |
|
|
Text Classification (HP)
|
100% |
1837
2.45 KIPS |
|
|
Text Classification (Q)
|
92% |
3535
4.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
2318
39.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2271
39.1 IPS |
|
|
Machine Translation (Q)
|
85% |
3463
60.6 IPS |
