TCL T803D
Geekbench AI Score
173
Single Precision Score
173
Half Precision Score
385
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 18 2025 07:27 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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 | 5.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
116
21.7 IPS |
|
|
Image Classification (HP)
|
100% |
118
22.0 IPS |
|
|
Image Classification (Q)
|
99% |
242
45.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
145
2.34 IPS |
|
|
Image Segmentation (HP)
|
100% |
146
2.37 IPS |
|
|
Image Segmentation (Q)
|
98% |
271
4.41 IPS |
|
|
Pose Estimation (SP)
|
100% |
176
0.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
175
0.20 IPS |
|
|
Pose Estimation (Q)
|
98% |
713
0.83 IPS |
|
|
Object Detection (SP)
|
100% |
103
8.16 IPS |
|
|
Object Detection (HP)
|
100% |
103
8.15 IPS |
|
|
Object Detection (Q)
|
87% |
271
21.7 IPS |
|
|
Face Detection (SP)
|
100% |
265
3.15 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% |
221
1.70 IPS |
|
|
Depth Estimation (Q)
|
64% |
503
4.57 IPS |
|
|
Style Transfer (SP)
|
100% |
364
0.47 IPS |
|
|
Style Transfer (HP)
|
100% |
362
0.47 IPS |
|
|
Style Transfer (Q)
|
98% |
1138
1.47 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
111
4.12 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
112
4.13 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
370
13.7 IPS |
|
|
Text Classification (SP)
|
100% |
145
193.1 IPS |
|
|
Text Classification (HP)
|
100% |
144
192.1 IPS |
|
|
Text Classification (Q)
|
91% |
265
356.0 IPS |
|
|
Machine Translation (SP)
|
100% |
232
4.00 IPS |
|
|
Machine Translation (HP)
|
100% |
231
3.98 IPS |
|
|
Machine Translation (Q)
|
57% |
194
4.75 IPS |
