ASUSTeK COMPUTER INC. UX560UQK
Geekbench AI Score
146
Single Precision Score
85
Half Precision Score
159
Quantized Score
Geekbench AI 1.2.0 Corporate for Windows AVX2
Result Information
| Upload Date | December 22 2024 08:56 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-7500U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home Single Language (64-bit) |
| Model | ASUSTeK COMPUTER INC. UX560UQK |
| Motherboard | ASUSTeK COMPUTER INC. UX560UQK |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-7500U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 9 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
194
36.1 IPS |
|
|
Image Classification (HP)
|
100% |
78
14.6 IPS |
|
|
Image Classification (Q)
|
96% |
297
55.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
156
2.53 IPS |
|
|
Image Segmentation (HP)
|
100% |
125
2.03 IPS |
|
|
Image Segmentation (Q)
|
97% |
98
1.60 IPS |
|
|
Pose Estimation (SP)
|
100% |
328
0.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
325
0.38 IPS |
|
|
Pose Estimation (Q)
|
86% |
473
0.56 IPS |
|
|
Object Detection (SP)
|
100% |
138
10.9 IPS |
|
|
Object Detection (HP)
|
100% |
47
3.70 IPS |
|
|
Object Detection (Q)
|
58% |
62
6.74 IPS |
|
|
Face Detection (SP)
|
100% |
93
1.11 IPS |
|
|
Face Detection (HP)
|
100% |
28
0.33 IPS |
|
|
Face Detection (Q)
|
96% |
94
1.12 IPS |
|
|
Depth Estimation (SP)
|
100% |
105
0.81 IPS |
|
|
Depth Estimation (HP)
|
99% |
53
0.41 IPS |
|
|
Depth Estimation (Q)
|
78% |
158
1.26 IPS |
|
|
Style Transfer (SP)
|
100% |
307
0.39 IPS |
|
|
Style Transfer (HP)
|
100% |
347
0.45 IPS |
|
|
Style Transfer (Q)
|
87% |
710
0.92 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
122
4.51 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
69
2.54 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
142
5.27 IPS |
|
|
Text Classification (SP)
|
100% |
71
94.3 IPS |
|
|
Text Classification (HP)
|
100% |
60
80.3 IPS |
|
|
Text Classification (Q)
|
97% |
56
74.4 IPS |
|
|
Machine Translation (SP)
|
100% |
132
2.28 IPS |
|
|
Machine Translation (HP)
|
100% |
65
1.12 IPS |
|
|
Machine Translation (Q)
|
68% |
146
2.83 IPS |
