ASUSTeK COMPUTER INC. ASUS Zenbook S 14 UX5406SA_UX5406SA
Geekbench AI Score
2963
Single Precision Score
20275
Half Precision Score
29461
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 18 2024 03:02 PM |
| 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 |
| Power Plan | Balanced |
| 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% |
1908
354.8 IPS |
|
|
Image Classification (HP)
|
100% |
12283
2.28 KIPS |
|
|
Image Classification (Q)
|
100% |
17933
3.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1949
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
11646
188.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
14265
231.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3388
3.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
97106
113.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
191183
224.0 IPS |
|
|
Object Detection (SP)
|
100% |
1803
143.0 IPS |
|
|
Object Detection (HP)
|
100% |
14494
1.15 KIPS |
|
|
Object Detection (Q)
|
87% |
19010
1.53 KIPS |
|
|
Face Detection (SP)
|
100% |
5494
65.3 IPS |
|
|
Face Detection (HP)
|
100% |
21960
260.9 IPS |
|
|
Face Detection (Q)
|
100% |
45290
538.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4703
36.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
67404
519.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
102113
794.7 IPS |
|
|
Style Transfer (SP)
|
100% |
10058
12.9 IPS |
|
|
Style Transfer (HP)
|
100% |
193345
248.5 IPS |
|
|
Style Transfer (Q)
|
98% |
296150
381.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2094
77.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26344
972.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
57619
2.13 KIPS |
|
|
Text Classification (SP)
|
100% |
1823
2.43 KIPS |
|
|
Text Classification (HP)
|
100% |
2716
3.63 KIPS |
|
|
Text Classification (Q)
|
92% |
2317
3.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
2320
40.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2848
49.0 IPS |
|
|
Machine Translation (Q)
|
100% |
2898
49.9 IPS |
