Teclast TLG01_EEA
Geekbench AI Score
456
Single Precision Score
469
Half Precision Score
924
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | paz_levi |
| Upload Date | August 20 2025 04:59 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Teclast TLG01_EEA |
| Model ID | Teclast TLG01_EEA |
| Motherboard | MT6789 |
| 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 | 7.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
218
40.6 IPS |
|
|
Image Classification (HP)
|
100% |
218
40.6 IPS |
|
|
Image Classification (Q)
|
100% |
647
120.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
266
4.31 IPS |
|
|
Image Segmentation (HP)
|
100% |
266
4.31 IPS |
|
|
Image Segmentation (Q)
|
98% |
695
11.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1044
1.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
1031
1.20 IPS |
|
|
Pose Estimation (Q)
|
84% |
1612
1.91 IPS |
|
|
Object Detection (SP)
|
100% |
218
17.3 IPS |
|
|
Object Detection (HP)
|
100% |
218
17.3 IPS |
|
|
Object Detection (Q)
|
83% |
628
50.8 IPS |
|
|
Face Detection (SP)
|
100% |
647
7.69 IPS |
|
|
Face Detection (HP)
|
100% |
646
7.68 IPS |
|
|
Face Detection (Q)
|
95% |
1456
17.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
483
3.72 IPS |
|
|
Depth Estimation (HP)
|
99% |
657
5.07 IPS |
|
|
Depth Estimation (Q)
|
64% |
1477
13.5 IPS |
|
|
Style Transfer (SP)
|
89% |
1775
2.30 IPS |
|
|
Style Transfer (HP)
|
89% |
1778
2.31 IPS |
|
|
Style Transfer (Q)
|
98% |
3681
4.75 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
452
16.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
452
16.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
885
32.8 IPS |
|
|
Text Classification (SP)
|
100% |
267
356.0 IPS |
|
|
Text Classification (HP)
|
100% |
264
352.8 IPS |
|
|
Text Classification (Q)
|
88% |
472
636.2 IPS |
|
|
Machine Translation (SP)
|
100% |
446
7.67 IPS |
|
|
Machine Translation (HP)
|
100% |
441
7.59 IPS |
|
|
Machine Translation (Q)
|
50% |
304
10.8 IPS |
