Teclast P50Ai_ROW
Geekbench AI Score
91
Single Precision Score
91
Half Precision Score
240
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | October 23 2024 12:36 PM |
| Views | 17 |
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 @ 1.98 GHz |
| Memory Information | |
|---|---|
| Size | 5.62 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
57
10.5 IPS |
|
|
Image Classification (HP)
|
100% |
57
10.6 IPS |
|
|
Image Classification (Q)
|
99% |
153
28.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
79
1.28 IPS |
|
|
Image Segmentation (HP)
|
100% |
79
1.29 IPS |
|
|
Image Segmentation (Q)
|
98% |
183
2.97 IPS |
|
|
Pose Estimation (SP)
|
100% |
90
0.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
91
0.11 IPS |
|
|
Pose Estimation (Q)
|
98% |
373
0.44 IPS |
|
|
Object Detection (SP)
|
100% |
57
4.56 IPS |
|
|
Object Detection (HP)
|
100% |
57
4.52 IPS |
|
|
Object Detection (Q)
|
87% |
176
14.1 IPS |
|
|
Face Detection (SP)
|
100% |
154
1.83 IPS |
|
|
Face Detection (HP)
|
100% |
156
1.85 IPS |
|
|
Face Detection (Q)
|
97% |
331
3.95 IPS |
|
|
Depth Estimation (SP)
|
100% |
114
0.88 IPS |
|
|
Depth Estimation (HP)
|
99% |
115
0.89 IPS |
|
|
Depth Estimation (Q)
|
64% |
308
2.80 IPS |
|
|
Style Transfer (SP)
|
100% |
196
0.25 IPS |
|
|
Style Transfer (HP)
|
100% |
196
0.25 IPS |
|
|
Style Transfer (Q)
|
98% |
614
0.79 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
51
1.87 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50
1.86 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
203
7.53 IPS |
|
|
Text Classification (SP)
|
100% |
71
95.1 IPS |
|
|
Text Classification (HP)
|
100% |
72
96.3 IPS |
|
|
Text Classification (Q)
|
91% |
187
251.9 IPS |
|
|
Machine Translation (SP)
|
100% |
140
2.41 IPS |
|
|
Machine Translation (HP)
|
100% |
142
2.44 IPS |
|
|
Machine Translation (Q)
|
57% |
149
3.63 IPS |
