Teclast P25_T_EEA
Geekbench AI Score
102
Single Precision Score
98
Half Precision Score
127
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 10 2025 04:46 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Teclast P25_T_EEA |
| Model ID | Teclast P25_T_EEA |
| Motherboard | exdroid |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 4 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3331 revision 4 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Memory Information | |
|---|---|
| Size | 2.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
59
10.9 IPS |
|
|
Image Classification (HP)
|
100% |
58
10.8 IPS |
|
|
Image Classification (Q)
|
100% |
98
18.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
81
1.31 IPS |
|
|
Image Segmentation (HP)
|
100% |
79
1.29 IPS |
|
|
Image Segmentation (Q)
|
98% |
142
2.31 IPS |
|
|
Pose Estimation (SP)
|
100% |
271
0.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
264
0.31 IPS |
|
|
Pose Estimation (Q)
|
84% |
194
0.23 IPS |
|
|
Object Detection (SP)
|
100% |
57
4.56 IPS |
|
|
Object Detection (HP)
|
100% |
58
4.63 IPS |
|
|
Object Detection (Q)
|
83% |
96
7.77 IPS |
|
|
Face Detection (SP)
|
100% |
140
1.67 IPS |
|
|
Face Detection (HP)
|
100% |
143
1.69 IPS |
|
|
Face Detection (Q)
|
95% |
261
3.11 IPS |
|
|
Depth Estimation (SP)
|
100% |
192
1.48 IPS |
|
|
Depth Estimation (HP)
|
99% |
141
1.08 IPS |
|
|
Depth Estimation (Q)
|
64% |
213
1.95 IPS |
|
|
Style Transfer (SP)
|
89% |
343
0.45 IPS |
|
|
Style Transfer (HP)
|
89% |
344
0.45 IPS |
|
|
Style Transfer (Q)
|
98% |
380
0.49 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
75
2.77 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
73
2.71 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
85
3.13 IPS |
|
|
Text Classification (SP)
|
100% |
36
48.5 IPS |
|
|
Text Classification (HP)
|
100% |
35
46.5 IPS |
|
|
Text Classification (Q)
|
88% |
59
79.6 IPS |
|
|
Machine Translation (SP)
|
100% |
69
1.19 IPS |
|
|
Machine Translation (HP)
|
100% |
71
1.22 IPS |
|
|
Machine Translation (Q)
|
50% |
40
1.41 IPS |
