Teclast P50Ai_ROW
Geekbench AI Score
90
Single Precision Score
91
Half Precision Score
241
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 02 2025 11:33 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
56
10.4 IPS |
|
|
Image Classification (HP)
|
100% |
56
10.4 IPS |
|
|
Image Classification (Q)
|
99% |
161
30.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
81
1.31 IPS |
|
|
Image Segmentation (HP)
|
100% |
81
1.31 IPS |
|
|
Image Segmentation (Q)
|
98% |
194
3.16 IPS |
|
|
Pose Estimation (SP)
|
100% |
91
0.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
91
0.11 IPS |
|
|
Pose Estimation (Q)
|
98% |
372
0.44 IPS |
|
|
Object Detection (SP)
|
100% |
57
4.54 IPS |
|
|
Object Detection (HP)
|
100% |
57
4.53 IPS |
|
|
Object Detection (Q)
|
87% |
177
14.2 IPS |
|
|
Face Detection (SP)
|
100% |
155
1.85 IPS |
|
|
Face Detection (HP)
|
100% |
156
1.86 IPS |
|
|
Face Detection (Q)
|
97% |
340
4.06 IPS |
|
|
Depth Estimation (SP)
|
100% |
113
0.87 IPS |
|
|
Depth Estimation (HP)
|
99% |
115
0.88 IPS |
|
|
Depth Estimation (Q)
|
64% |
306
2.78 IPS |
|
|
Style Transfer (SP)
|
100% |
192
0.25 IPS |
|
|
Style Transfer (HP)
|
100% |
194
0.25 IPS |
|
|
Style Transfer (Q)
|
98% |
572
0.74 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
49
1.82 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50
1.83 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
201
7.44 IPS |
|
|
Text Classification (SP)
|
100% |
71
94.9 IPS |
|
|
Text Classification (HP)
|
100% |
70
93.8 IPS |
|
|
Text Classification (Q)
|
91% |
186
250.0 IPS |
|
|
Machine Translation (SP)
|
100% |
141
2.44 IPS |
|
|
Machine Translation (HP)
|
100% |
140
2.42 IPS |
|
|
Machine Translation (Q)
|
57% |
149
3.63 IPS |
