Teclast T65_EEA
Geekbench AI Score
244
Single Precision Score
244
Half Precision Score
318
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 09 2025 12:30 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Teclast T65_EEA |
| Model ID | Teclast T65_EEA |
| 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 | 7.61 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
106
19.8 IPS |
|
|
Image Classification (HP)
|
100% |
106
19.8 IPS |
|
|
Image Classification (Q)
|
100% |
217
40.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
134
2.17 IPS |
|
|
Image Segmentation (HP)
|
100% |
134
2.17 IPS |
|
|
Image Segmentation (Q)
|
98% |
269
4.38 IPS |
|
|
Pose Estimation (SP)
|
100% |
539
0.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
531
0.62 IPS |
|
|
Pose Estimation (Q)
|
84% |
406
0.48 IPS |
|
|
Object Detection (SP)
|
100% |
106
8.43 IPS |
|
|
Object Detection (HP)
|
100% |
106
8.42 IPS |
|
|
Object Detection (Q)
|
83% |
210
17.0 IPS |
|
|
Face Detection (SP)
|
100% |
348
4.14 IPS |
|
|
Face Detection (HP)
|
100% |
349
4.14 IPS |
|
|
Face Detection (Q)
|
95% |
600
7.16 IPS |
|
|
Depth Estimation (SP)
|
100% |
446
3.44 IPS |
|
|
Depth Estimation (HP)
|
99% |
441
3.40 IPS |
|
|
Depth Estimation (Q)
|
64% |
463
4.24 IPS |
|
|
Style Transfer (SP)
|
89% |
876
1.14 IPS |
|
|
Style Transfer (HP)
|
89% |
879
1.14 IPS |
|
|
Style Transfer (Q)
|
98% |
1048
1.35 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
240
8.86 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
244
9.03 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
255
9.46 IPS |
|
|
Text Classification (SP)
|
100% |
128
170.8 IPS |
|
|
Text Classification (HP)
|
100% |
127
169.9 IPS |
|
|
Text Classification (Q)
|
88% |
200
270.1 IPS |
|
|
Machine Translation (SP)
|
100% |
229
3.95 IPS |
|
|
Machine Translation (HP)
|
100% |
227
3.90 IPS |
|
|
Machine Translation (Q)
|
50% |
147
5.22 IPS |
