Luxshare T Phone 3
Geekbench AI Score
872
Single Precision Score
874
Half Precision Score
1675
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 08 2025 09:35 AM |
| Views | 32 |
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% |
468
87.1 IPS |
|
|
Image Classification (HP)
|
100% |
465
86.4 IPS |
|
|
Image Classification (Q)
|
100% |
1342
249.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
524
8.49 IPS |
|
|
Image Segmentation (HP)
|
100% |
571
9.26 IPS |
|
|
Image Segmentation (Q)
|
98% |
1690
27.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2190
2.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
2053
2.40 IPS |
|
|
Pose Estimation (Q)
|
84% |
3275
3.88 IPS |
|
|
Object Detection (SP)
|
100% |
405
32.1 IPS |
|
|
Object Detection (HP)
|
100% |
401
31.8 IPS |
|
|
Object Detection (Q)
|
83% |
1142
92.2 IPS |
|
|
Face Detection (SP)
|
100% |
1170
13.9 IPS |
|
|
Face Detection (HP)
|
100% |
1171
13.9 IPS |
|
|
Face Detection (Q)
|
95% |
3003
35.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1131
8.72 IPS |
|
|
Depth Estimation (HP)
|
99% |
1211
9.33 IPS |
|
|
Depth Estimation (Q)
|
64% |
2919
26.7 IPS |
|
|
Style Transfer (SP)
|
89% |
3498
4.54 IPS |
|
|
Style Transfer (HP)
|
89% |
3499
4.54 IPS |
|
|
Style Transfer (Q)
|
98% |
7465
9.63 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
893
33.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
889
32.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1761
65.2 IPS |
|
|
Text Classification (SP)
|
100% |
401
534.8 IPS |
|
|
Text Classification (HP)
|
100% |
394
525.6 IPS |
|
|
Text Classification (Q)
|
88% |
823
1.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
707
12.2 IPS |
|
|
Machine Translation (HP)
|
100% |
685
11.8 IPS |
|
|
Machine Translation (Q)
|
50% |
217
7.70 IPS |
