TCL T611B
Geekbench AI Score
231
Single Precision Score
250
Half Precision Score
317
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | gmn17 |
| Upload Date | August 15 2024 09:41 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | TCL T611B |
| Model ID | TCL T611B |
| Motherboard | MT6769 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.00 GHz |
| Memory Information | |
|---|---|
| Size | 5.62 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
128
23.8 IPS |
|
|
Image Classification (HP)
|
100% |
123
22.9 IPS |
|
|
Image Classification (Q)
|
100% |
226
42.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
120
1.94 IPS |
|
|
Image Segmentation (HP)
|
100% |
100
1.61 IPS |
|
|
Image Segmentation (Q)
|
98% |
288
4.68 IPS |
|
|
Pose Estimation (SP)
|
100% |
702
0.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
727
0.85 IPS |
|
|
Pose Estimation (Q)
|
84% |
525
0.62 IPS |
|
|
Object Detection (SP)
|
100% |
100
7.97 IPS |
|
|
Object Detection (HP)
|
100% |
147
11.6 IPS |
|
|
Object Detection (Q)
|
87% |
294
23.6 IPS |
|
|
Face Detection (SP)
|
100% |
415
4.93 IPS |
|
|
Face Detection (HP)
|
100% |
411
4.88 IPS |
|
|
Face Detection (Q)
|
95% |
785
9.38 IPS |
|
|
Depth Estimation (SP)
|
100% |
550
4.24 IPS |
|
|
Depth Estimation (HP)
|
100% |
549
4.23 IPS |
|
|
Depth Estimation (Q)
|
75% |
830
6.73 IPS |
|
|
Style Transfer (SP)
|
89% |
900
1.17 IPS |
|
|
Style Transfer (HP)
|
89% |
967
1.25 IPS |
|
|
Style Transfer (Q)
|
98% |
1287
1.66 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
182
6.72 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
198
7.33 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
251
9.29 IPS |
|
|
Text Classification (SP)
|
100% |
98
130.6 IPS |
|
|
Text Classification (HP)
|
100% |
87
115.5 IPS |
|
|
Text Classification (Q)
|
88% |
70
95.0 IPS |
|
|
Machine Translation (SP)
|
100% |
113
1.94 IPS |
|
|
Machine Translation (HP)
|
100% |
198
3.41 IPS |
|
|
Machine Translation (Q)
|
50% |
71
2.53 IPS |
