ASUSTeK COMPUTER INC. ZenBook UX564EH_Q528EH
Geekbench AI Score
3882
Single Precision Score
5505
Half Precision Score
8702
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 25 2025 09:09 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Iris(R) Xe Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ZenBook UX564EH_Q528EH |
| Motherboard | ASUSTeK COMPUTER INC. UX564EH |
| Power Plan | ASUS Recommended |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1165G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 2.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2370
440.7 IPS |
|
|
Image Classification (HP)
|
100% |
3626
674.4 IPS |
|
|
Image Classification (Q)
|
99% |
5265
982.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3092
50.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
6054
98.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
8288
134.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9680
11.3 IPS |
|
|
Pose Estimation (HP)
|
99% |
7243
8.45 IPS |
|
|
Pose Estimation (Q)
|
97% |
29975
35.1 IPS |
|
|
Object Detection (SP)
|
100% |
2553
202.5 IPS |
|
|
Object Detection (HP)
|
100% |
3601
285.7 IPS |
|
|
Object Detection (Q)
|
90% |
5895
471.3 IPS |
|
|
Face Detection (SP)
|
100% |
4455
52.9 IPS |
|
|
Face Detection (HP)
|
100% |
8729
103.7 IPS |
|
|
Face Detection (Q)
|
100% |
14346
170.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8366
64.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
14362
111.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
18986
147.6 IPS |
|
|
Style Transfer (SP)
|
100% |
23760
30.5 IPS |
|
|
Style Transfer (HP)
|
100% |
35945
46.2 IPS |
|
|
Style Transfer (Q)
|
98% |
66764
86.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3874
143.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6199
228.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10759
398.5 IPS |
|
|
Text Classification (SP)
|
71% |
1015
1.47 KIPS |
|
|
Text Classification (HP)
|
71% |
1094
1.58 KIPS |
|
|
Text Classification (Q)
|
92% |
1141
1.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
1235
21.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1462
25.2 IPS |
|
|
Machine Translation (Q)
|
100% |
1447
24.9 IPS |
