TCL T803D
Geekbench AI Score
174
Single Precision Score
174
Half Precision Score
382
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | February 06 2026 06:06 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | TCL T803D |
| Model ID | TCL T803D |
| Motherboard | MT6835 |
| 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 @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
105
19.6 IPS |
|
|
Image Classification (HP)
|
100% |
106
19.7 IPS |
|
|
Image Classification (Q)
|
99% |
236
44.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
147
2.38 IPS |
|
|
Image Segmentation (HP)
|
100% |
148
2.40 IPS |
|
|
Image Segmentation (Q)
|
98% |
275
4.48 IPS |
|
|
Pose Estimation (SP)
|
100% |
182
0.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
183
0.21 IPS |
|
|
Pose Estimation (Q)
|
98% |
726
0.85 IPS |
|
|
Object Detection (SP)
|
100% |
103
8.20 IPS |
|
|
Object Detection (HP)
|
100% |
102
8.10 IPS |
|
|
Object Detection (Q)
|
87% |
263
21.1 IPS |
|
|
Face Detection (SP)
|
100% |
267
3.17 IPS |
|
|
Face Detection (HP)
|
100% |
266
3.16 IPS |
|
|
Face Detection (Q)
|
97% |
530
6.32 IPS |
|
|
Depth Estimation (SP)
|
100% |
221
1.70 IPS |
|
|
Depth Estimation (HP)
|
99% |
222
1.71 IPS |
|
|
Depth Estimation (Q)
|
64% |
485
4.40 IPS |
|
|
Style Transfer (SP)
|
100% |
364
0.47 IPS |
|
|
Style Transfer (HP)
|
100% |
367
0.47 IPS |
|
|
Style Transfer (Q)
|
98% |
1149
1.48 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
110
4.07 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
111
4.09 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
380
14.1 IPS |
|
|
Text Classification (SP)
|
100% |
148
197.7 IPS |
|
|
Text Classification (HP)
|
100% |
148
197.3 IPS |
|
|
Text Classification (Q)
|
91% |
265
356.0 IPS |
|
|
Machine Translation (SP)
|
100% |
252
4.34 IPS |
|
|
Machine Translation (HP)
|
100% |
245
4.21 IPS |
|
|
Machine Translation (Q)
|
57% |
181
4.43 IPS |
