ALLDOCUBE iPlay 70 mini Ultra
Geekbench AI Score
407
Single Precision Score
406
Half Precision Score
950
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | February 02 2026 10:13 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | ALLDOCUBE iPlay 70 mini Ultra |
| Model ID | ALLDOCUBE iPlay 70 mini Ultra |
| Motherboard | Alldocube |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 3 Cores @ 1.90 GHz |
| Cluster 2 | 4 Cores @ 2.61 GHz |
| Cluster 3 | 1 Core @ 2.80 GHz |
| Memory Information | |
|---|---|
| Size | 11.06 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
252
46.8 IPS |
|
|
Image Classification (HP)
|
100% |
242
45.0 IPS |
|
|
Image Classification (Q)
|
99% |
652
121.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
308
5.00 IPS |
|
|
Image Segmentation (HP)
|
100% |
312
5.06 IPS |
|
|
Image Segmentation (Q)
|
98% |
658
10.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
420
0.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
426
0.50 IPS |
|
|
Pose Estimation (Q)
|
98% |
1667
1.95 IPS |
|
|
Object Detection (SP)
|
100% |
243
19.2 IPS |
|
|
Object Detection (HP)
|
100% |
244
19.3 IPS |
|
|
Object Detection (Q)
|
87% |
712
57.1 IPS |
|
|
Face Detection (SP)
|
100% |
586
6.97 IPS |
|
|
Face Detection (HP)
|
100% |
592
7.04 IPS |
|
|
Face Detection (Q)
|
97% |
1421
16.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
517
3.98 IPS |
|
|
Depth Estimation (HP)
|
99% |
520
4.01 IPS |
|
|
Depth Estimation (Q)
|
64% |
1277
11.6 IPS |
|
|
Style Transfer (SP)
|
100% |
857
1.10 IPS |
|
|
Style Transfer (HP)
|
100% |
858
1.10 IPS |
|
|
Style Transfer (Q)
|
98% |
2149
2.77 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
266
9.82 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
267
9.87 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
979
36.3 IPS |
|
|
Text Classification (SP)
|
100% |
393
524.7 IPS |
|
|
Text Classification (HP)
|
100% |
389
519.5 IPS |
|
|
Text Classification (Q)
|
91% |
654
878.8 IPS |
|
|
Machine Translation (SP)
|
100% |
584
10.1 IPS |
|
|
Machine Translation (HP)
|
100% |
572
9.85 IPS |
|
|
Machine Translation (Q)
|
57% |
474
11.6 IPS |
