TINNO U572AA
Geekbench AI Score
163
Single Precision Score
155
Half Precision Score
187
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | kvnsalters |
| Upload Date | November 07 2024 03:22 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | TINNO U572AA |
| Model ID | TINNO U572AA |
| Motherboard | ATT |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3331 revision 4 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores @ 1.60 GHz |
| Cluster 2 | 4 Cores @ 2.20 GHz |
| Memory Information | |
|---|---|
| Size | 3.67 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
79
14.7 IPS |
|
|
Image Classification (HP)
|
100% |
87
16.1 IPS |
|
|
Image Classification (Q)
|
100% |
140
26.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
133
2.16 IPS |
|
|
Image Segmentation (HP)
|
100% |
111
1.80 IPS |
|
|
Image Segmentation (Q)
|
98% |
185
3.01 IPS |
|
|
Pose Estimation (SP)
|
100% |
412
0.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
281
0.33 IPS |
|
|
Pose Estimation (Q)
|
84% |
400
0.47 IPS |
|
|
Object Detection (SP)
|
100% |
78
6.15 IPS |
|
|
Object Detection (HP)
|
100% |
78
6.20 IPS |
|
|
Object Detection (Q)
|
83% |
110
8.89 IPS |
|
|
Face Detection (SP)
|
100% |
204
2.43 IPS |
|
|
Face Detection (HP)
|
100% |
189
2.24 IPS |
|
|
Face Detection (Q)
|
95% |
355
4.24 IPS |
|
|
Depth Estimation (SP)
|
100% |
251
1.93 IPS |
|
|
Depth Estimation (HP)
|
99% |
283
2.18 IPS |
|
|
Depth Estimation (Q)
|
64% |
311
2.85 IPS |
|
|
Style Transfer (SP)
|
89% |
911
1.18 IPS |
|
|
Style Transfer (HP)
|
89% |
946
1.23 IPS |
|
|
Style Transfer (Q)
|
98% |
941
1.21 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
116
4.27 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
119
4.38 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
175
6.47 IPS |
|
|
Text Classification (SP)
|
100% |
68
90.7 IPS |
|
|
Text Classification (HP)
|
100% |
63
84.4 IPS |
|
|
Text Classification (Q)
|
88% |
72
96.5 IPS |
|
|
Machine Translation (SP)
|
100% |
107
1.85 IPS |
|
|
Machine Translation (HP)
|
100% |
102
1.76 IPS |
|
|
Machine Translation (Q)
|
50% |
36
1.29 IPS |
