Teclast P50Ai_ROW
Geekbench AI Score
92
Single Precision Score
92
Half Precision Score
247
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 02 2025 09:26 AM |
| Views | 1 |
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% |
57
10.5 IPS |
|
|
Image Classification (HP)
|
100% |
56
10.4 IPS |
|
|
Image Classification (Q)
|
99% |
164
30.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
82
1.33 IPS |
|
|
Image Segmentation (HP)
|
100% |
82
1.33 IPS |
|
|
Image Segmentation (Q)
|
98% |
195
3.17 IPS |
|
|
Pose Estimation (SP)
|
100% |
93
0.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
93
0.11 IPS |
|
|
Pose Estimation (Q)
|
98% |
388
0.45 IPS |
|
|
Object Detection (SP)
|
100% |
58
4.63 IPS |
|
|
Object Detection (HP)
|
100% |
58
4.63 IPS |
|
|
Object Detection (Q)
|
87% |
179
14.4 IPS |
|
|
Face Detection (SP)
|
100% |
157
1.86 IPS |
|
|
Face Detection (HP)
|
100% |
158
1.88 IPS |
|
|
Face Detection (Q)
|
97% |
342
4.08 IPS |
|
|
Depth Estimation (SP)
|
100% |
114
0.88 IPS |
|
|
Depth Estimation (HP)
|
99% |
116
0.90 IPS |
|
|
Depth Estimation (Q)
|
64% |
317
2.87 IPS |
|
|
Style Transfer (SP)
|
100% |
197
0.25 IPS |
|
|
Style Transfer (HP)
|
100% |
198
0.25 IPS |
|
|
Style Transfer (Q)
|
98% |
611
0.79 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
51
1.87 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50
1.84 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
206
7.64 IPS |
|
|
Text Classification (SP)
|
100% |
71
95.3 IPS |
|
|
Text Classification (HP)
|
100% |
74
98.4 IPS |
|
|
Text Classification (Q)
|
91% |
187
251.7 IPS |
|
|
Machine Translation (SP)
|
100% |
143
2.46 IPS |
|
|
Machine Translation (HP)
|
100% |
143
2.47 IPS |
|
|
Machine Translation (Q)
|
57% |
152
3.70 IPS |
