ALLDOCUBE iPlay 70 mini Ultra
Geekbench AI Score
424
Single Precision Score
425
Half Precision Score
984
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | PC-FREEDOM |
| Upload Date | September 14 2025 08:46 AM |
| Views | 6 |
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% |
262
48.7 IPS |
|
|
Image Classification (HP)
|
100% |
262
48.7 IPS |
|
|
Image Classification (Q)
|
99% |
682
127.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
328
5.32 IPS |
|
|
Image Segmentation (HP)
|
100% |
333
5.40 IPS |
|
|
Image Segmentation (Q)
|
98% |
693
11.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
446
0.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
437
0.51 IPS |
|
|
Pose Estimation (Q)
|
98% |
1738
2.04 IPS |
|
|
Object Detection (SP)
|
100% |
254
20.1 IPS |
|
|
Object Detection (HP)
|
100% |
255
20.2 IPS |
|
|
Object Detection (Q)
|
87% |
728
58.4 IPS |
|
|
Face Detection (SP)
|
100% |
613
7.29 IPS |
|
|
Face Detection (HP)
|
100% |
621
7.38 IPS |
|
|
Face Detection (Q)
|
97% |
1482
17.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
531
4.09 IPS |
|
|
Depth Estimation (HP)
|
99% |
534
4.12 IPS |
|
|
Depth Estimation (Q)
|
64% |
1315
11.9 IPS |
|
|
Style Transfer (SP)
|
100% |
901
1.16 IPS |
|
|
Style Transfer (HP)
|
100% |
905
1.16 IPS |
|
|
Style Transfer (Q)
|
98% |
2244
2.89 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
275
10.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
277
10.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1006
37.3 IPS |
|
|
Text Classification (SP)
|
100% |
400
533.7 IPS |
|
|
Text Classification (HP)
|
100% |
396
529.1 IPS |
|
|
Text Classification (Q)
|
91% |
654
879.1 IPS |
|
|
Machine Translation (SP)
|
100% |
606
10.4 IPS |
|
|
Machine Translation (HP)
|
100% |
603
10.4 IPS |
|
|
Machine Translation (Q)
|
57% |
497
12.1 IPS |
