Luxshare T Phone 3
Geekbench AI Score
780
Single Precision Score
794
Half Precision Score
1512
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 27 2025 09:38 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Luxshare T Phone 3 |
| Model ID | Luxshare T Phone 3 |
| Motherboard | S88531AA1 |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 2 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 4 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 5.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
457
85.0 IPS |
|
|
Image Classification (HP)
|
100% |
419
78.0 IPS |
|
|
Image Classification (Q)
|
100% |
1225
227.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
433
7.02 IPS |
|
|
Image Segmentation (HP)
|
100% |
525
8.51 IPS |
|
|
Image Segmentation (Q)
|
98% |
1440
23.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2022
2.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
2013
2.35 IPS |
|
|
Pose Estimation (Q)
|
84% |
2963
3.51 IPS |
|
|
Object Detection (SP)
|
100% |
375
29.8 IPS |
|
|
Object Detection (HP)
|
100% |
389
30.9 IPS |
|
|
Object Detection (Q)
|
83% |
1135
91.7 IPS |
|
|
Face Detection (SP)
|
100% |
1154
13.7 IPS |
|
|
Face Detection (HP)
|
100% |
1151
13.7 IPS |
|
|
Face Detection (Q)
|
95% |
2730
32.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
708
5.45 IPS |
|
|
Depth Estimation (HP)
|
99% |
759
5.85 IPS |
|
|
Depth Estimation (Q)
|
64% |
2886
26.4 IPS |
|
|
Style Transfer (SP)
|
89% |
3210
4.17 IPS |
|
|
Style Transfer (HP)
|
89% |
3219
4.18 IPS |
|
|
Style Transfer (Q)
|
98% |
6785
8.75 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
847
31.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
846
31.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1606
59.5 IPS |
|
|
Text Classification (SP)
|
100% |
382
510.0 IPS |
|
|
Text Classification (HP)
|
100% |
378
505.1 IPS |
|
|
Text Classification (Q)
|
88% |
737
993.9 IPS |
|
|
Machine Translation (SP)
|
100% |
660
11.4 IPS |
|
|
Machine Translation (HP)
|
100% |
650
11.2 IPS |
|
|
Machine Translation (Q)
|
50% |
167
5.93 IPS |
