Alldocube iPlay 70 mini Pro
Geekbench AI Score
477
Single Precision Score
494
Half Precision Score
1081
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | Titus88 |
| Upload Date | February 03 2026 10:11 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Alldocube iPlay 70 mini Pro |
| Model ID | Alldocube iPlay 70 mini Pro |
| Motherboard | Alldocube |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 7.41 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
245
45.6 IPS |
|
|
Image Classification (HP)
|
100% |
241
44.8 IPS |
|
|
Image Classification (Q)
|
100% |
757
140.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
243
3.94 IPS |
|
|
Image Segmentation (HP)
|
100% |
237
3.84 IPS |
|
|
Image Segmentation (Q)
|
98% |
836
13.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
804
0.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
992
1.16 IPS |
|
|
Pose Estimation (Q)
|
84% |
1830
2.17 IPS |
|
|
Object Detection (SP)
|
100% |
220
17.5 IPS |
|
|
Object Detection (HP)
|
100% |
223
17.7 IPS |
|
|
Object Detection (Q)
|
83% |
728
58.8 IPS |
|
|
Face Detection (SP)
|
100% |
675
8.02 IPS |
|
|
Face Detection (HP)
|
100% |
715
8.50 IPS |
|
|
Face Detection (Q)
|
95% |
1655
19.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
798
6.14 IPS |
|
|
Depth Estimation (HP)
|
99% |
784
6.04 IPS |
|
|
Depth Estimation (Q)
|
64% |
1665
15.3 IPS |
|
|
Style Transfer (SP)
|
89% |
1729
2.24 IPS |
|
|
Style Transfer (HP)
|
89% |
1753
2.28 IPS |
|
|
Style Transfer (Q)
|
98% |
3623
4.67 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
488
18.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
512
18.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1001
37.1 IPS |
|
|
Text Classification (SP)
|
100% |
295
393.2 IPS |
|
|
Text Classification (HP)
|
100% |
312
416.7 IPS |
|
|
Text Classification (Q)
|
88% |
652
879.9 IPS |
|
|
Machine Translation (SP)
|
100% |
434
7.48 IPS |
|
|
Machine Translation (HP)
|
100% |
441
7.59 IPS |
|
|
Machine Translation (Q)
|
50% |
397
14.1 IPS |
