Teclast P30T_ROW
Geekbench AI Score
342
Single Precision Score
335
Half Precision Score
627
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | patrickvdd |
| Upload Date | February 24 2025 09:13 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Teclast P30T_ROW |
| Model ID | Teclast P30T_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 | 1.61 GHz |
| Cluster 1 | 8 Cores @ 1.61 GHz |
| Memory Information | |
|---|---|
| Size | 3.66 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
171
31.8 IPS |
|
|
Image Classification (HP)
|
100% |
176
32.7 IPS |
|
|
Image Classification (Q)
|
100% |
450
83.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
209
3.38 IPS |
|
|
Image Segmentation (HP)
|
100% |
207
3.35 IPS |
|
|
Image Segmentation (Q)
|
98% |
574
9.34 IPS |
|
|
Pose Estimation (SP)
|
100% |
756
0.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
772
0.90 IPS |
|
|
Pose Estimation (Q)
|
84% |
1318
1.56 IPS |
|
|
Object Detection (SP)
|
100% |
187
14.9 IPS |
|
|
Object Detection (HP)
|
100% |
183
14.5 IPS |
|
|
Object Detection (Q)
|
83% |
415
33.5 IPS |
|
|
Face Detection (SP)
|
100% |
441
5.24 IPS |
|
|
Face Detection (HP)
|
100% |
438
5.20 IPS |
|
|
Face Detection (Q)
|
95% |
1075
12.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
537
4.14 IPS |
|
|
Depth Estimation (HP)
|
99% |
426
3.28 IPS |
|
|
Depth Estimation (Q)
|
64% |
1163
10.6 IPS |
|
|
Style Transfer (SP)
|
89% |
1508
1.96 IPS |
|
|
Style Transfer (HP)
|
89% |
1523
1.98 IPS |
|
|
Style Transfer (Q)
|
98% |
3081
3.97 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
291
10.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
298
11.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
672
24.9 IPS |
|
|
Text Classification (SP)
|
100% |
160
213.6 IPS |
|
|
Text Classification (HP)
|
100% |
161
215.5 IPS |
|
|
Text Classification (Q)
|
88% |
209
281.7 IPS |
|
|
Machine Translation (SP)
|
100% |
267
4.60 IPS |
|
|
Machine Translation (HP)
|
100% |
261
4.49 IPS |
|
|
Machine Translation (Q)
|
50% |
124
4.40 IPS |
