Teclast T60Ai_ROW
Geekbench AI Score
349
Single Precision Score
364
Half Precision Score
805
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 17 2025 01:35 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Teclast T60Ai_ROW |
| Model ID | Teclast T60Ai_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% |
178
33.0 IPS |
|
|
Image Classification (HP)
|
100% |
183
34.0 IPS |
|
|
Image Classification (Q)
|
100% |
560
104.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
216
3.50 IPS |
|
|
Image Segmentation (HP)
|
100% |
211
3.41 IPS |
|
|
Image Segmentation (Q)
|
98% |
599
9.74 IPS |
|
|
Pose Estimation (SP)
|
100% |
767
0.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
748
0.87 IPS |
|
|
Pose Estimation (Q)
|
84% |
1461
1.73 IPS |
|
|
Object Detection (SP)
|
100% |
181
14.4 IPS |
|
|
Object Detection (HP)
|
100% |
183
14.5 IPS |
|
|
Object Detection (Q)
|
83% |
559
45.1 IPS |
|
|
Face Detection (SP)
|
100% |
465
5.52 IPS |
|
|
Face Detection (HP)
|
100% |
469
5.57 IPS |
|
|
Face Detection (Q)
|
95% |
1198
14.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
296
2.28 IPS |
|
|
Depth Estimation (HP)
|
99% |
456
3.51 IPS |
|
|
Depth Estimation (Q)
|
64% |
1358
12.4 IPS |
|
|
Style Transfer (SP)
|
89% |
1433
1.86 IPS |
|
|
Style Transfer (HP)
|
89% |
1410
1.83 IPS |
|
|
Style Transfer (Q)
|
98% |
3306
4.26 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
314
11.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
323
11.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
802
29.7 IPS |
|
|
Text Classification (SP)
|
100% |
220
294.1 IPS |
|
|
Text Classification (HP)
|
100% |
214
286.1 IPS |
|
|
Text Classification (Q)
|
88% |
404
544.5 IPS |
|
|
Machine Translation (SP)
|
100% |
379
6.53 IPS |
|
|
Machine Translation (HP)
|
100% |
375
6.45 IPS |
|
|
Machine Translation (Q)
|
50% |
241
8.55 IPS |
