ALLDOCUBE iPlay 70 mini Ultra
Geekbench AI Score
417
Single Precision Score
418
Half Precision Score
972
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | Titus88 |
| Upload Date | February 03 2026 07:01 PM |
| Views | 8 |
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% |
261
48.6 IPS |
|
|
Image Classification (HP)
|
100% |
261
48.6 IPS |
|
|
Image Classification (Q)
|
99% |
675
126.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
322
5.23 IPS |
|
|
Image Segmentation (HP)
|
100% |
327
5.29 IPS |
|
|
Image Segmentation (Q)
|
98% |
683
11.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
439
0.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
427
0.50 IPS |
|
|
Pose Estimation (Q)
|
98% |
1718
2.01 IPS |
|
|
Object Detection (SP)
|
100% |
250
19.8 IPS |
|
|
Object Detection (HP)
|
100% |
252
20.0 IPS |
|
|
Object Detection (Q)
|
87% |
717
57.5 IPS |
|
|
Face Detection (SP)
|
100% |
600
7.13 IPS |
|
|
Face Detection (HP)
|
100% |
608
7.22 IPS |
|
|
Face Detection (Q)
|
97% |
1453
17.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
534
4.11 IPS |
|
|
Depth Estimation (HP)
|
99% |
533
4.10 IPS |
|
|
Depth Estimation (Q)
|
64% |
1315
11.9 IPS |
|
|
Style Transfer (SP)
|
100% |
871
1.12 IPS |
|
|
Style Transfer (HP)
|
100% |
872
1.12 IPS |
|
|
Style Transfer (Q)
|
98% |
2182
2.81 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
264
9.76 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
273
10.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1002
37.1 IPS |
|
|
Text Classification (SP)
|
100% |
393
524.1 IPS |
|
|
Text Classification (HP)
|
100% |
394
526.3 IPS |
|
|
Text Classification (Q)
|
91% |
654
878.8 IPS |
|
|
Machine Translation (SP)
|
100% |
597
10.3 IPS |
|
|
Machine Translation (HP)
|
100% |
593
10.2 IPS |
|
|
Machine Translation (Q)
|
57% |
488
11.9 IPS |
