ASUSTeK COMPUTER INC. ZenBook UX564EH_Q528EH
Geekbench AI Score
2711
Single Precision Score
2753
Half Precision Score
7600
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 25 2025 09:02 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 11th Gen Intel(R) Core(TM) i7-1165G7 @ 2.80GHz |
| 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% |
1751
325.7 IPS |
|
|
Image Classification (HP)
|
100% |
1775
330.0 IPS |
|
|
Image Classification (Q)
|
100% |
5376
999.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1923
31.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1924
31.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4865
78.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3135
3.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
3084
3.60 IPS |
|
|
Pose Estimation (Q)
|
96% |
12223
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1599
126.8 IPS |
|
|
Object Detection (HP)
|
100% |
1635
129.7 IPS |
|
|
Object Detection (Q)
|
88% |
5089
408.0 IPS |
|
|
Face Detection (SP)
|
100% |
3421
40.7 IPS |
|
|
Face Detection (HP)
|
100% |
3451
41.0 IPS |
|
|
Face Detection (Q)
|
100% |
12030
142.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4144
31.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4238
32.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
12660
98.5 IPS |
|
|
Style Transfer (SP)
|
100% |
8251
10.6 IPS |
|
|
Style Transfer (HP)
|
100% |
8387
10.8 IPS |
|
|
Style Transfer (Q)
|
98% |
31876
41.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1805
66.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1846
68.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6668
246.9 IPS |
|
|
Text Classification (SP)
|
100% |
1904
2.54 KIPS |
|
|
Text Classification (HP)
|
100% |
2016
2.69 KIPS |
|
|
Text Classification (Q)
|
92% |
3861
5.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3162
54.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3192
55.0 IPS |
|
|
Machine Translation (Q)
|
100% |
3162
54.5 IPS |
