Kinstone T71
Geekbench AI Score
450
Single Precision Score
467
Half Precision Score
921
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 26 2025 09:01 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Kinstone T71 |
| Model ID | Kinstone T71 |
| Motherboard | mt6789 |
| 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 @ 2.20 GHz |
| Memory Information | |
|---|---|
| Size | 5.75 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
217
40.4 IPS |
|
|
Image Classification (HP)
|
100% |
217
40.4 IPS |
|
|
Image Classification (Q)
|
100% |
639
118.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
265
4.30 IPS |
|
|
Image Segmentation (HP)
|
100% |
266
4.31 IPS |
|
|
Image Segmentation (Q)
|
98% |
691
11.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1037
1.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
1029
1.20 IPS |
|
|
Pose Estimation (Q)
|
84% |
1612
1.91 IPS |
|
|
Object Detection (SP)
|
100% |
217
17.2 IPS |
|
|
Object Detection (HP)
|
100% |
218
17.3 IPS |
|
|
Object Detection (Q)
|
83% |
627
50.6 IPS |
|
|
Face Detection (SP)
|
100% |
645
7.66 IPS |
|
|
Face Detection (HP)
|
100% |
644
7.66 IPS |
|
|
Face Detection (Q)
|
95% |
1446
17.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
440
3.39 IPS |
|
|
Depth Estimation (HP)
|
99% |
658
5.07 IPS |
|
|
Depth Estimation (Q)
|
64% |
1468
13.4 IPS |
|
|
Style Transfer (SP)
|
89% |
1779
2.31 IPS |
|
|
Style Transfer (HP)
|
89% |
1774
2.30 IPS |
|
|
Style Transfer (Q)
|
98% |
3678
4.74 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
451
16.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
453
16.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
886
32.8 IPS |
|
|
Text Classification (SP)
|
100% |
265
353.8 IPS |
|
|
Text Classification (HP)
|
100% |
263
351.3 IPS |
|
|
Text Classification (Q)
|
88% |
479
646.3 IPS |
|
|
Machine Translation (SP)
|
100% |
438
7.54 IPS |
|
|
Machine Translation (HP)
|
100% |
432
7.44 IPS |
|
|
Machine Translation (Q)
|
50% |
298
10.6 IPS |
