Teclast T60Ai_ROW
Geekbench AI Score
330
Single Precision Score
332
Half Precision Score
785
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 24 2025 10:38 AM |
| 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% |
170
31.6 IPS |
|
|
Image Classification (HP)
|
100% |
176
32.8 IPS |
|
|
Image Classification (Q)
|
100% |
401
74.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
212
3.43 IPS |
|
|
Image Segmentation (HP)
|
100% |
209
3.38 IPS |
|
|
Image Segmentation (Q)
|
98% |
598
9.73 IPS |
|
|
Pose Estimation (SP)
|
100% |
767
0.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
764
0.89 IPS |
|
|
Pose Estimation (Q)
|
84% |
1463
1.74 IPS |
|
|
Object Detection (SP)
|
100% |
186
14.7 IPS |
|
|
Object Detection (HP)
|
100% |
186
14.8 IPS |
|
|
Object Detection (Q)
|
83% |
558
45.1 IPS |
|
|
Face Detection (SP)
|
100% |
477
5.67 IPS |
|
|
Face Detection (HP)
|
100% |
471
5.60 IPS |
|
|
Face Detection (Q)
|
95% |
1239
14.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
228
1.76 IPS |
|
|
Depth Estimation (HP)
|
99% |
230
1.77 IPS |
|
|
Depth Estimation (Q)
|
64% |
1359
12.4 IPS |
|
|
Style Transfer (SP)
|
89% |
1305
1.69 IPS |
|
|
Style Transfer (HP)
|
89% |
1410
1.83 IPS |
|
|
Style Transfer (Q)
|
98% |
3340
4.31 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
253
9.36 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
241
8.92 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
801
29.7 IPS |
|
|
Text Classification (SP)
|
100% |
221
294.8 IPS |
|
|
Text Classification (HP)
|
100% |
227
302.4 IPS |
|
|
Text Classification (Q)
|
88% |
412
555.9 IPS |
|
|
Machine Translation (SP)
|
100% |
381
6.56 IPS |
|
|
Machine Translation (HP)
|
100% |
379
6.53 IPS |
|
|
Machine Translation (Q)
|
50% |
245
8.68 IPS |
