Teclast P50Ai_ROW
Geekbench AI Score
49
Single Precision Score
66
Half Precision Score
71
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 10 2025 05:34 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Teclast P50Ai_ROW |
| Model ID | Teclast P50Ai_ROW |
| Motherboard | exdroid |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 1 |
| Base Frequency | 1.79 GHz |
| Cluster 1 | 6 Cores @ 1.79 GHz |
| Cluster 2 | 2 Cores @ 2.00 GHz |
| Memory Information | |
|---|---|
| Size | 5.62 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
29
5.30 IPS |
|
|
Image Classification (HP)
|
100% |
43
7.99 IPS |
|
|
Image Classification (Q)
|
97% |
40
7.45 IPS |
|
|
Image Segmentation (SP)
|
100% |
44
0.71 IPS |
|
|
Image Segmentation (HP)
|
100% |
57
0.92 IPS |
|
|
Image Segmentation (Q)
|
98% |
60
0.98 IPS |
|
|
Pose Estimation (SP)
|
100% |
25
0.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
39
0.05 IPS |
|
|
Pose Estimation (Q)
|
96% |
38
0.04 IPS |
|
|
Object Detection (SP)
|
100% |
20
1.57 IPS |
|
|
Object Detection (HP)
|
100% |
29
2.26 IPS |
|
|
Object Detection (Q)
|
84% |
28
2.24 IPS |
|
|
Face Detection (SP)
|
100% |
93
1.10 IPS |
|
|
Face Detection (HP)
|
100% |
126
1.50 IPS |
|
|
Face Detection (Q)
|
97% |
120
1.43 IPS |
|
|
Depth Estimation (SP)
|
100% |
50
0.39 IPS |
|
|
Depth Estimation (HP)
|
99% |
72
0.55 IPS |
|
|
Depth Estimation (Q)
|
63% |
60
0.56 IPS |
|
|
Style Transfer (SP)
|
100% |
114
0.15 IPS |
|
|
Style Transfer (HP)
|
100% |
167
0.22 IPS |
|
|
Style Transfer (Q)
|
98% |
163
0.21 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23
0.84 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39
1.43 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
37
1.36 IPS |
|
|
Text Classification (SP)
|
100% |
74
98.5 IPS |
|
|
Text Classification (HP)
|
100% |
75
99.5 IPS |
|
|
Text Classification (Q)
|
91% |
190
255.4 IPS |
|
|
Machine Translation (SP)
|
100% |
147
2.52 IPS |
|
|
Machine Translation (HP)
|
100% |
148
2.55 IPS |
|
|
Machine Translation (Q)
|
57% |
156
3.81 IPS |
