ASUSTeK COMPUTER INC. ZenBook UX562FAC
Geekbench AI Score
895
Single Precision Score
1566
Half Precision Score
1372
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | stableconfusion |
| Upload Date | December 24 2024 10:25 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ZenBook UX562FAC |
| Motherboard | ASUSTeK COMPUTER INC. UX562FAC |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10510U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 12 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
467
86.9 IPS |
|
|
Image Classification (HP)
|
100% |
991
184.2 IPS |
|
|
Image Classification (Q)
|
100% |
473
87.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
567
9.20 IPS |
|
|
Image Segmentation (HP)
|
100% |
1005
16.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1006
16.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1447
1.69 IPS |
|
|
Pose Estimation (HP)
|
99% |
1946
2.28 IPS |
|
|
Pose Estimation (Q)
|
97% |
2843
3.33 IPS |
|
|
Object Detection (SP)
|
100% |
513
40.7 IPS |
|
|
Object Detection (HP)
|
99% |
1052
83.7 IPS |
|
|
Object Detection (Q)
|
88% |
895
71.8 IPS |
|
|
Face Detection (SP)
|
100% |
1755
20.9 IPS |
|
|
Face Detection (HP)
|
100% |
3158
37.5 IPS |
|
|
Face Detection (Q)
|
97% |
2769
33.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1783
13.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
3597
27.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
2733
21.3 IPS |
|
|
Style Transfer (SP)
|
100% |
4286
5.51 IPS |
|
|
Style Transfer (HP)
|
100% |
7712
9.91 IPS |
|
|
Style Transfer (Q)
|
98% |
6522
8.41 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
593
21.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1299
48.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1289
47.7 IPS |
|
|
Text Classification (SP)
|
71% |
443
640.1 IPS |
|
|
Text Classification (HP)
|
71% |
579
837.3 IPS |
|
|
Text Classification (Q)
|
92% |
459
616.7 IPS |
|
|
Machine Translation (SP)
|
100% |
480
8.27 IPS |
|
|
Machine Translation (HP)
|
97% |
661
11.4 IPS |
|
|
Machine Translation (Q)
|
98% |
671
11.6 IPS |
