TCL 9183W
Geekbench AI Score
140
Single Precision Score
191
Half Precision Score
191
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | October 08 2024 07:07 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM MT8771V/PZA |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | TCL 9183W |
| Model ID | TCL 9183W |
| Motherboard | MT6853 |
| CPU Information | |
|---|---|
| Name | ARM MT8771V/PZA |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 8 Cores @ 2.00 GHz |
| Memory Information | |
|---|---|
| Size | 3.61 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
92
17.2 IPS |
|
|
Image Classification (HP)
|
100% |
161
30.0 IPS |
|
|
Image Classification (Q)
|
99% |
152
28.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
128
2.08 IPS |
|
|
Image Segmentation (HP)
|
100% |
221
3.58 IPS |
|
|
Image Segmentation (Q)
|
98% |
219
3.56 IPS |
|
|
Pose Estimation (SP)
|
100% |
88
0.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
102
0.12 IPS |
|
|
Pose Estimation (Q)
|
96% |
102
0.12 IPS |
|
|
Object Detection (SP)
|
100% |
69
5.47 IPS |
|
|
Object Detection (HP)
|
100% |
111
8.82 IPS |
|
|
Object Detection (Q)
|
83% |
109
8.86 IPS |
|
|
Face Detection (SP)
|
100% |
284
3.37 IPS |
|
|
Face Detection (HP)
|
100% |
407
4.83 IPS |
|
|
Face Detection (Q)
|
97% |
424
5.05 IPS |
|
|
Depth Estimation (SP)
|
100% |
165
1.27 IPS |
|
|
Depth Estimation (HP)
|
99% |
214
1.65 IPS |
|
|
Depth Estimation (Q)
|
62% |
173
1.64 IPS |
|
|
Style Transfer (SP)
|
100% |
333
0.43 IPS |
|
|
Style Transfer (HP)
|
100% |
459
0.59 IPS |
|
|
Style Transfer (Q)
|
98% |
457
0.59 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
81
2.99 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
121
4.48 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
123
4.56 IPS |
|
|
Text Classification (SP)
|
100% |
143
191.3 IPS |
|
|
Text Classification (HP)
|
100% |
143
190.3 IPS |
|
|
Text Classification (Q)
|
91% |
231
310.4 IPS |
|
|
Machine Translation (SP)
|
100% |
238
4.10 IPS |
|
|
Machine Translation (HP)
|
100% |
243
4.19 IPS |
|
|
Machine Translation (Q)
|
57% |
190
4.64 IPS |
