ASUSTeK COMPUTER INC. ASUS Zenbook S 14 UX5406SA_UX5406SA
Geekbench AI Score
3089
Single Precision Score
16964
Half Precision Score
21107
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 28 2024 10:53 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (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% |
1958
364.1 IPS |
|
|
Image Classification (HP)
|
100% |
9475
1.76 KIPS |
|
|
Image Classification (Q)
|
100% |
7147
1.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2087
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
10758
174.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
12730
206.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3362
3.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
95644
111.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
174462
204.4 IPS |
|
|
Object Detection (SP)
|
100% |
1861
147.6 IPS |
|
|
Object Detection (HP)
|
100% |
13164
1.04 KIPS |
|
|
Object Detection (Q)
|
87% |
12320
988.8 IPS |
|
|
Face Detection (SP)
|
100% |
5549
65.9 IPS |
|
|
Face Detection (HP)
|
100% |
22160
263.3 IPS |
|
|
Face Detection (Q)
|
100% |
36082
428.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4721
36.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
60412
465.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
80851
629.2 IPS |
|
|
Style Transfer (SP)
|
100% |
10052
12.9 IPS |
|
|
Style Transfer (HP)
|
100% |
189705
243.9 IPS |
|
|
Style Transfer (Q)
|
98% |
251323
324.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2106
77.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21598
797.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
44297
1.64 KIPS |
|
|
Text Classification (SP)
|
100% |
2167
2.89 KIPS |
|
|
Text Classification (HP)
|
100% |
1088
1.45 KIPS |
|
|
Text Classification (Q)
|
92% |
1079
1.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
2581
44.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2577
44.4 IPS |
|
|
Machine Translation (Q)
|
100% |
2562
44.1 IPS |
