TCL TTablet2
Geekbench AI Score
524
Single Precision Score
538
Half Precision Score
1058
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 18 2025 07:39 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | TCL TTablet2 |
| Model ID | TCL TTablet2 |
| Motherboard | MT8755 |
| 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 @ 2.60 GHz |
| Memory Information | |
|---|---|
| Size | 5.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
265
49.4 IPS |
|
|
Image Classification (HP)
|
100% |
265
49.2 IPS |
|
|
Image Classification (Q)
|
100% |
770
143.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
323
5.23 IPS |
|
|
Image Segmentation (HP)
|
100% |
299
4.84 IPS |
|
|
Image Segmentation (Q)
|
98% |
792
12.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1173
1.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
1161
1.35 IPS |
|
|
Pose Estimation (Q)
|
84% |
1841
2.18 IPS |
|
|
Object Detection (SP)
|
100% |
249
19.7 IPS |
|
|
Object Detection (HP)
|
100% |
249
19.7 IPS |
|
|
Object Detection (Q)
|
83% |
711
57.4 IPS |
|
|
Face Detection (SP)
|
100% |
762
9.05 IPS |
|
|
Face Detection (HP)
|
100% |
759
9.01 IPS |
|
|
Face Detection (Q)
|
95% |
1661
19.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
554
4.27 IPS |
|
|
Depth Estimation (HP)
|
99% |
793
6.11 IPS |
|
|
Depth Estimation (Q)
|
64% |
1691
15.5 IPS |
|
|
Style Transfer (SP)
|
89% |
2002
2.60 IPS |
|
|
Style Transfer (HP)
|
89% |
1998
2.59 IPS |
|
|
Style Transfer (Q)
|
98% |
4221
5.44 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
498
18.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
500
18.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1014
37.6 IPS |
|
|
Text Classification (SP)
|
100% |
297
396.0 IPS |
|
|
Text Classification (HP)
|
100% |
296
394.5 IPS |
|
|
Text Classification (Q)
|
88% |
534
719.7 IPS |
|
|
Machine Translation (SP)
|
100% |
509
8.78 IPS |
|
|
Machine Translation (HP)
|
100% |
502
8.65 IPS |
|
|
Machine Translation (Q)
|
50% |
346
12.3 IPS |
