Relndoo T10P
Geekbench AI Score
144
Single Precision Score
140
Half Precision Score
166
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | March 14 2025 05:32 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Relndoo T10P |
| Model ID | Relndoo T10P |
| Motherboard | rk30sdk |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 4 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3331 revision 4 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 4 Cores @ 2.02 GHz |
| Memory Information | |
|---|---|
| Size | 2.87 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
77
14.3 IPS |
|
|
Image Classification (HP)
|
100% |
72
13.3 IPS |
|
|
Image Classification (Q)
|
100% |
125
23.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
100
1.62 IPS |
|
|
Image Segmentation (HP)
|
100% |
96
1.55 IPS |
|
|
Image Segmentation (Q)
|
98% |
81
1.32 IPS |
|
|
Pose Estimation (SP)
|
100% |
343
0.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
352
0.41 IPS |
|
|
Pose Estimation (Q)
|
84% |
266
0.32 IPS |
|
|
Object Detection (SP)
|
100% |
79
6.30 IPS |
|
|
Object Detection (HP)
|
100% |
79
6.27 IPS |
|
|
Object Detection (Q)
|
83% |
120
9.73 IPS |
|
|
Face Detection (SP)
|
100% |
174
2.07 IPS |
|
|
Face Detection (HP)
|
100% |
178
2.12 IPS |
|
|
Face Detection (Q)
|
95% |
312
3.72 IPS |
|
|
Depth Estimation (SP)
|
100% |
240
1.85 IPS |
|
|
Depth Estimation (HP)
|
99% |
224
1.72 IPS |
|
|
Depth Estimation (Q)
|
64% |
273
2.50 IPS |
|
|
Style Transfer (SP)
|
89% |
621
0.81 IPS |
|
|
Style Transfer (HP)
|
89% |
630
0.82 IPS |
|
|
Style Transfer (Q)
|
98% |
636
0.82 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
123
4.55 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
121
4.47 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
145
5.37 IPS |
|
|
Text Classification (SP)
|
100% |
74
99.3 IPS |
|
|
Text Classification (HP)
|
100% |
72
96.5 IPS |
|
|
Text Classification (Q)
|
88% |
98
132.1 IPS |
|
|
Machine Translation (SP)
|
100% |
80
1.38 IPS |
|
|
Machine Translation (HP)
|
100% |
72
1.24 IPS |
|
|
Machine Translation (Q)
|
50% |
66
2.34 IPS |
