TINNO U655AA
Geekbench AI Score
482
Single Precision Score
481
Half Precision Score
901
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | June 30 2025 11:02 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | TINNO U655AA |
| Model ID | TINNO U655AA |
| Motherboard | ATT |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.20 GHz |
| Memory Information | |
|---|---|
| Size | 3.58 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
215
40.0 IPS |
|
|
Image Classification (HP)
|
100% |
215
40.0 IPS |
|
|
Image Classification (Q)
|
100% |
625
116.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
259
4.20 IPS |
|
|
Image Segmentation (HP)
|
100% |
260
4.21 IPS |
|
|
Image Segmentation (Q)
|
98% |
692
11.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1025
1.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
1027
1.20 IPS |
|
|
Pose Estimation (Q)
|
84% |
1567
1.86 IPS |
|
|
Object Detection (SP)
|
100% |
212
16.8 IPS |
|
|
Object Detection (HP)
|
100% |
212
16.8 IPS |
|
|
Object Detection (Q)
|
83% |
598
48.3 IPS |
|
|
Face Detection (SP)
|
100% |
717
8.52 IPS |
|
|
Face Detection (HP)
|
100% |
714
8.48 IPS |
|
|
Face Detection (Q)
|
95% |
1424
17.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
909
7.00 IPS |
|
|
Depth Estimation (HP)
|
99% |
876
6.75 IPS |
|
|
Depth Estimation (Q)
|
64% |
1435
13.1 IPS |
|
|
Style Transfer (SP)
|
89% |
1727
2.24 IPS |
|
|
Style Transfer (HP)
|
89% |
1734
2.25 IPS |
|
|
Style Transfer (Q)
|
98% |
3588
4.63 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
453
16.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
459
17.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
859
31.8 IPS |
|
|
Text Classification (SP)
|
100% |
253
337.3 IPS |
|
|
Text Classification (HP)
|
100% |
253
337.5 IPS |
|
|
Text Classification (Q)
|
88% |
447
602.7 IPS |
|
|
Machine Translation (SP)
|
100% |
440
7.57 IPS |
|
|
Machine Translation (HP)
|
100% |
440
7.58 IPS |
|
|
Machine Translation (Q)
|
50% |
311
11.1 IPS |
