ASUSTeK COMPUTER INC. ASUS Zenbook S 14 UX5406SA_UX5406SA
Geekbench AI Score
3000
Single Precision Score
18746
Half Precision Score
26031
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 02:37 PM |
| Views | 2 |
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% |
1924
357.7 IPS |
|
|
Image Classification (HP)
|
100% |
11963
2.22 KIPS |
|
|
Image Classification (Q)
|
100% |
16558
3.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1973
32.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5042
81.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
7239
117.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3369
3.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
98754
115.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
190290
222.9 IPS |
|
|
Object Detection (SP)
|
100% |
1880
149.1 IPS |
|
|
Object Detection (HP)
|
100% |
13927
1.10 KIPS |
|
|
Object Detection (Q)
|
87% |
18569
1.49 KIPS |
|
|
Face Detection (SP)
|
100% |
5459
64.9 IPS |
|
|
Face Detection (HP)
|
100% |
25765
306.1 IPS |
|
|
Face Detection (Q)
|
100% |
45819
544.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4721
36.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
66305
510.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
105264
819.2 IPS |
|
|
Style Transfer (SP)
|
100% |
9964
12.8 IPS |
|
|
Style Transfer (HP)
|
100% |
215338
276.8 IPS |
|
|
Style Transfer (Q)
|
98% |
305203
393.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2143
79.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32023
1.18 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46746
1.73 KIPS |
|
|
Text Classification (SP)
|
100% |
1847
2.47 KIPS |
|
|
Text Classification (HP)
|
100% |
2239
2.99 KIPS |
|
|
Text Classification (Q)
|
92% |
1968
2.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
2424
41.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2450
42.2 IPS |
|
|
Machine Translation (Q)
|
100% |
2491
42.9 IPS |
