Teclast T65Plus_EEA
Geekbench AI Score
516
Single Precision Score
519
Half Precision Score
942
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Oleksandr |
| Upload Date | December 10 2025 04:14 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
226
42.0 IPS |
|
|
Image Classification (HP)
|
100% |
225
41.8 IPS |
|
|
Image Classification (Q)
|
100% |
650
120.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
285
4.62 IPS |
|
|
Image Segmentation (HP)
|
100% |
286
4.63 IPS |
|
|
Image Segmentation (Q)
|
98% |
719
11.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1114
1.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
1115
1.30 IPS |
|
|
Pose Estimation (Q)
|
84% |
1615
1.92 IPS |
|
|
Object Detection (SP)
|
100% |
229
18.2 IPS |
|
|
Object Detection (HP)
|
100% |
228
18.1 IPS |
|
|
Object Detection (Q)
|
83% |
631
51.0 IPS |
|
|
Face Detection (SP)
|
100% |
743
8.83 IPS |
|
|
Face Detection (HP)
|
100% |
747
8.88 IPS |
|
|
Face Detection (Q)
|
95% |
1475
17.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
893
6.88 IPS |
|
|
Depth Estimation (HP)
|
99% |
961
7.40 IPS |
|
|
Depth Estimation (Q)
|
64% |
1478
13.5 IPS |
|
|
Style Transfer (SP)
|
89% |
1848
2.40 IPS |
|
|
Style Transfer (HP)
|
89% |
1853
2.40 IPS |
|
|
Style Transfer (Q)
|
98% |
3692
4.76 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
507
18.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
508
18.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
888
32.9 IPS |
|
|
Text Classification (SP)
|
100% |
277
370.0 IPS |
|
|
Text Classification (HP)
|
100% |
275
367.2 IPS |
|
|
Text Classification (Q)
|
88% |
482
650.5 IPS |
|
|
Machine Translation (SP)
|
100% |
474
8.17 IPS |
|
|
Machine Translation (HP)
|
100% |
475
8.18 IPS |
|
|
Machine Translation (Q)
|
50% |
338
12.0 IPS |
