ASUSTeK COMPUTER INC. ZenBook UX564EH_Q528EH
Geekbench AI Score
1430
Single Precision Score
770
Half Precision Score
3371
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 25 2025 08:35 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-1165G7 |
| 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% |
1089
202.5 IPS |
|
|
Image Classification (HP)
|
100% |
306
56.9 IPS |
|
|
Image Classification (Q)
|
99% |
3317
618.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
622
10.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
449
7.27 IPS |
|
|
Image Segmentation (Q)
|
98% |
1509
24.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1825
2.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
1587
1.85 IPS |
|
|
Pose Estimation (Q)
|
94% |
7203
8.44 IPS |
|
|
Object Detection (SP)
|
100% |
902
71.5 IPS |
|
|
Object Detection (HP)
|
100% |
372
29.5 IPS |
|
|
Object Detection (Q)
|
86% |
2804
225.4 IPS |
|
|
Face Detection (SP)
|
100% |
2005
23.8 IPS |
|
|
Face Detection (HP)
|
100% |
844
10.0 IPS |
|
|
Face Detection (Q)
|
97% |
4702
56.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2657
20.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1009
7.77 IPS |
|
|
Depth Estimation (Q)
|
78% |
6365
50.8 IPS |
|
|
Style Transfer (SP)
|
100% |
3682
4.73 IPS |
|
|
Style Transfer (HP)
|
100% |
3014
3.87 IPS |
|
|
Style Transfer (Q)
|
98% |
9716
12.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
958
35.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1019
37.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2602
96.3 IPS |
|
|
Text Classification (SP)
|
100% |
1144
1.53 KIPS |
|
|
Text Classification (HP)
|
100% |
651
869.1 IPS |
|
|
Text Classification (Q)
|
97% |
1288
1.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
1495
25.8 IPS |
|
|
Machine Translation (HP)
|
100% |
535
9.21 IPS |
|
|
Machine Translation (Q)
|
65% |
1925
38.7 IPS |
