Teclast T65Plus_EEA
Geekbench AI Score
308
Single Precision Score
500
Half Precision Score
426
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Oleksandr |
| Upload Date | December 10 2025 04:23 PM |
| Views | 20 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Teclast T65Plus_EEA |
| Model ID | Teclast T65Plus_EEA |
| Motherboard | tb8781_64_cm89_v10 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.20 GHz |
| Memory Information | |
|---|---|
| Size | 7.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
182
33.9 IPS |
|
|
Image Classification (HP)
|
100% |
358
66.6 IPS |
|
|
Image Classification (Q)
|
97% |
309
57.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
262
4.24 IPS |
|
|
Image Segmentation (HP)
|
100% |
576
9.33 IPS |
|
|
Image Segmentation (Q)
|
98% |
513
8.34 IPS |
|
|
Pose Estimation (SP)
|
100% |
1037
1.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
1963
2.29 IPS |
|
|
Pose Estimation (Q)
|
95% |
2075
2.43 IPS |
|
|
Object Detection (SP)
|
100% |
160
12.7 IPS |
|
|
Object Detection (HP)
|
99% |
317
25.1 IPS |
|
|
Object Detection (Q)
|
83% |
338
27.3 IPS |
|
|
Face Detection (SP)
|
100% |
598
7.11 IPS |
|
|
Face Detection (HP)
|
100% |
1200
14.3 IPS |
|
|
Face Detection (Q)
|
96% |
1068
12.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
794
6.12 IPS |
|
|
Depth Estimation (HP)
|
98% |
1499
11.6 IPS |
|
|
Depth Estimation (Q)
|
62% |
1204
11.4 IPS |
|
|
Style Transfer (SP)
|
100% |
1952
2.51 IPS |
|
|
Style Transfer (HP)
|
100% |
4052
5.21 IPS |
|
|
Style Transfer (Q)
|
98% |
4129
5.32 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
473
17.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
815
30.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
745
27.6 IPS |
|
|
Text Classification (SP)
|
35% |
9
84.5 IPS |
|
|
Text Classification (HP)
|
29% |
5
88.3 IPS |
|
|
Text Classification (Q)
|
32% |
7
88.3 IPS |
|
|
Machine Translation (SP)
|
100% |
253
4.35 IPS |
|
|
Machine Translation (HP)
|
100% |
259
4.46 IPS |
|
|
Machine Translation (Q)
|
43% |
64
3.74 IPS |
