Alldocube iPlay50_mini_Pro
Geekbench AI Score
283
Single Precision Score
475
Half Precision Score
400
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 06 2025 06:07 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Alldocube iPlay50_mini_Pro |
| Model ID | Alldocube iPlay50_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 | 7.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
174
32.3 IPS |
|
|
Image Classification (HP)
|
100% |
323
60.0 IPS |
|
|
Image Classification (Q)
|
97% |
349
65.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
261
4.22 IPS |
|
|
Image Segmentation (HP)
|
100% |
572
9.27 IPS |
|
|
Image Segmentation (Q)
|
98% |
531
8.63 IPS |
|
|
Pose Estimation (SP)
|
100% |
962
1.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
1985
2.32 IPS |
|
|
Pose Estimation (Q)
|
95% |
1825
2.14 IPS |
|
|
Object Detection (SP)
|
100% |
140
11.1 IPS |
|
|
Object Detection (HP)
|
99% |
293
23.2 IPS |
|
|
Object Detection (Q)
|
83% |
270
21.8 IPS |
|
|
Face Detection (SP)
|
100% |
531
6.31 IPS |
|
|
Face Detection (HP)
|
100% |
1178
14.0 IPS |
|
|
Face Detection (Q)
|
96% |
1037
12.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
666
5.13 IPS |
|
|
Depth Estimation (HP)
|
98% |
1344
10.4 IPS |
|
|
Depth Estimation (Q)
|
62% |
1168
11.1 IPS |
|
|
Style Transfer (SP)
|
100% |
1803
2.32 IPS |
|
|
Style Transfer (HP)
|
100% |
3826
4.92 IPS |
|
|
Style Transfer (Q)
|
98% |
3807
4.91 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
460
17.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
795
29.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
740
27.4 IPS |
|
|
Text Classification (SP)
|
35% |
9
77.5 IPS |
|
|
Text Classification (HP)
|
29% |
5
83.7 IPS |
|
|
Text Classification (Q)
|
32% |
6
81.7 IPS |
|
|
Machine Translation (SP)
|
100% |
206
3.55 IPS |
|
|
Machine Translation (HP)
|
100% |
228
3.93 IPS |
|
|
Machine Translation (Q)
|
43% |
57
3.31 IPS |
