ASUSTeK COMPUTER INC. ASUS Zenbook S 14 UX5406SA_UX5406SA
Geekbench AI Score
18356
Single Precision Score
18094
Half Precision Score
25092
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | TechnoCat |
| Upload Date | October 04 2024 09:04 AM |
| Views | 4 |
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% |
11568
2.15 KIPS |
|
|
Image Classification (HP)
|
100% |
11533
2.14 KIPS |
|
|
Image Classification (Q)
|
100% |
16076
2.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5034
81.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5153
83.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
7277
118.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
99778
116.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
99275
115.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
189285
221.7 IPS |
|
|
Object Detection (SP)
|
98% |
13388
1.07 KIPS |
|
|
Object Detection (HP)
|
100% |
13601
1.08 KIPS |
|
|
Object Detection (Q)
|
87% |
17604
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
26050
309.5 IPS |
|
|
Face Detection (HP)
|
100% |
25602
304.2 IPS |
|
|
Face Detection (Q)
|
100% |
45910
545.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
65384
503.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
65116
501.7 IPS |
|
|
Depth Estimation (Q)
|
80% |
99408
787.5 IPS |
|
|
Style Transfer (SP)
|
100% |
211224
271.5 IPS |
|
|
Style Transfer (HP)
|
100% |
205170
263.7 IPS |
|
|
Style Transfer (Q)
|
98% |
305889
394.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32156
1.19 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
30933
1.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46314
1.72 KIPS |
|
|
Text Classification (SP)
|
100% |
2003
2.67 KIPS |
|
|
Text Classification (HP)
|
100% |
1880
2.51 KIPS |
|
|
Text Classification (Q)
|
92% |
1975
2.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
2410
41.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2357
40.6 IPS |
|
|
Machine Translation (Q)
|
89% |
1988
34.6 IPS |
