ASUSTeK COMPUTER INC. ASUS Zenbook S 14 UX5406SA_UX5406SA
Geekbench AI Score
16166
Single Precision Score
16063
Half Precision Score
23577
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | TechnoCat |
| Upload Date | October 04 2024 03:10 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% |
9435
1.75 KIPS |
|
|
Image Classification (HP)
|
100% |
8529
1.59 KIPS |
|
|
Image Classification (Q)
|
100% |
15015
2.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5104
82.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4871
79.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
7066
114.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
97225
113.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
96822
113.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
189562
222.1 IPS |
|
|
Object Detection (SP)
|
98% |
10643
846.9 IPS |
|
|
Object Detection (HP)
|
100% |
11216
889.7 IPS |
|
|
Object Detection (Q)
|
87% |
15296
1.23 KIPS |
|
|
Face Detection (SP)
|
100% |
22714
269.9 IPS |
|
|
Face Detection (HP)
|
100% |
23699
281.6 IPS |
|
|
Face Detection (Q)
|
100% |
42435
504.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
59197
456.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
59197
456.1 IPS |
|
|
Depth Estimation (Q)
|
80% |
91359
723.7 IPS |
|
|
Style Transfer (SP)
|
100% |
197495
253.9 IPS |
|
|
Style Transfer (HP)
|
100% |
194977
250.6 IPS |
|
|
Style Transfer (Q)
|
98% |
276198
356.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26603
982.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25424
938.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
39623
1.47 KIPS |
|
|
Text Classification (SP)
|
100% |
1496
2.00 KIPS |
|
|
Text Classification (HP)
|
100% |
1614
2.15 KIPS |
|
|
Text Classification (Q)
|
92% |
2051
2.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
2316
39.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2259
38.9 IPS |
|
|
Machine Translation (Q)
|
89% |
1983
34.5 IPS |
