Teclast T50HD_ROW
Geekbench AI Score
240
Single Precision Score
238
Half Precision Score
332
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 13 2025 09:52 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Teclast T50HD_ROW |
| Model ID | Teclast T50HD_ROW |
| Motherboard | ums9230_6h10 |
| Governor | uscfreq |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Base Frequency | 1.82 GHz |
| Cluster 1 | 6 Cores @ 1.82 GHz |
| Cluster 2 | 2 Cores @ 2.21 GHz |
| Memory Information | |
|---|---|
| Size | 5.62 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
104
19.4 IPS |
|
|
Image Classification (HP)
|
100% |
104
19.4 IPS |
|
|
Image Classification (Q)
|
100% |
239
44.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
138
2.24 IPS |
|
|
Image Segmentation (HP)
|
100% |
130
2.11 IPS |
|
|
Image Segmentation (Q)
|
98% |
290
4.71 IPS |
|
|
Pose Estimation (SP)
|
100% |
520
0.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
520
0.61 IPS |
|
|
Pose Estimation (Q)
|
84% |
427
0.51 IPS |
|
|
Object Detection (SP)
|
100% |
102
8.05 IPS |
|
|
Object Detection (HP)
|
100% |
101
8.04 IPS |
|
|
Object Detection (Q)
|
83% |
218
17.6 IPS |
|
|
Face Detection (SP)
|
100% |
342
4.07 IPS |
|
|
Face Detection (HP)
|
100% |
344
4.08 IPS |
|
|
Face Detection (Q)
|
95% |
641
7.65 IPS |
|
|
Depth Estimation (SP)
|
100% |
439
3.38 IPS |
|
|
Depth Estimation (HP)
|
99% |
450
3.47 IPS |
|
|
Depth Estimation (Q)
|
64% |
481
4.41 IPS |
|
|
Style Transfer (SP)
|
89% |
862
1.12 IPS |
|
|
Style Transfer (HP)
|
89% |
858
1.11 IPS |
|
|
Style Transfer (Q)
|
98% |
1068
1.38 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
246
9.10 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
240
8.87 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
266
9.85 IPS |
|
|
Text Classification (SP)
|
100% |
122
162.4 IPS |
|
|
Text Classification (HP)
|
100% |
121
161.7 IPS |
|
|
Text Classification (Q)
|
88% |
195
262.7 IPS |
|
|
Machine Translation (SP)
|
100% |
222
3.82 IPS |
|
|
Machine Translation (HP)
|
100% |
215
3.71 IPS |
|
|
Machine Translation (Q)
|
50% |
149
5.29 IPS |
