Alldocube iPlay 50 mini Pro
Geekbench AI Score
473
Single Precision Score
470
Half Precision Score
919
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 19 2025 07:22 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Alldocube iPlay 50 mini Pro |
| Model ID | Alldocube iPlay 50 mini Pro |
| Motherboard | tb8781p1_64 |
| 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 | 7.60 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
215
39.9 IPS |
|
|
Image Classification (HP)
|
100% |
214
39.9 IPS |
|
|
Image Classification (Q)
|
100% |
639
118.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
263
4.26 IPS |
|
|
Image Segmentation (HP)
|
100% |
261
4.22 IPS |
|
|
Image Segmentation (Q)
|
98% |
690
11.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1011
1.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
1007
1.18 IPS |
|
|
Pose Estimation (Q)
|
84% |
1608
1.91 IPS |
|
|
Object Detection (SP)
|
100% |
213
16.9 IPS |
|
|
Object Detection (HP)
|
100% |
213
16.9 IPS |
|
|
Object Detection (Q)
|
83% |
623
50.3 IPS |
|
|
Face Detection (SP)
|
100% |
630
7.48 IPS |
|
|
Face Detection (HP)
|
100% |
628
7.46 IPS |
|
|
Face Detection (Q)
|
95% |
1446
17.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
832
6.41 IPS |
|
|
Depth Estimation (HP)
|
99% |
797
6.14 IPS |
|
|
Depth Estimation (Q)
|
64% |
1471
13.5 IPS |
|
|
Style Transfer (SP)
|
89% |
1758
2.28 IPS |
|
|
Style Transfer (HP)
|
89% |
1763
2.29 IPS |
|
|
Style Transfer (Q)
|
98% |
3656
4.71 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
440
16.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
440
16.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
885
32.8 IPS |
|
|
Text Classification (SP)
|
100% |
265
354.1 IPS |
|
|
Text Classification (HP)
|
100% |
264
352.8 IPS |
|
|
Text Classification (Q)
|
88% |
472
637.2 IPS |
|
|
Machine Translation (SP)
|
100% |
437
7.53 IPS |
|
|
Machine Translation (HP)
|
100% |
431
7.42 IPS |
|
|
Machine Translation (Q)
|
50% |
300
10.7 IPS |
