ALLDOCUBE iPlay 70 mini Ultra
Geekbench AI Score
1482
Single Precision Score
2488
Half Precision Score
1995
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | Titus88 |
| Upload Date | February 02 2026 09:56 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
1007
187.2 IPS |
|
|
Image Classification (HP)
|
100% |
1538
286.1 IPS |
|
|
Image Classification (Q)
|
100% |
1485
276.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1833
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3111
50.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2979
48.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6175
7.20 IPS |
|
|
Pose Estimation (HP)
|
99% |
11430
13.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
11276
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
901
71.5 IPS |
|
|
Object Detection (HP)
|
99% |
1372
108.8 IPS |
|
|
Object Detection (Q)
|
87% |
1317
105.8 IPS |
|
|
Face Detection (SP)
|
100% |
3462
41.1 IPS |
|
|
Face Detection (HP)
|
100% |
6271
74.5 IPS |
|
|
Face Detection (Q)
|
97% |
5378
64.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3317
25.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
5886
45.5 IPS |
|
|
Depth Estimation (Q)
|
61% |
4473
44.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7974
10.3 IPS |
|
|
Style Transfer (HP)
|
100% |
17088
22.0 IPS |
|
|
Style Transfer (Q)
|
98% |
16991
21.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1747
64.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3129
115.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3102
115.0 IPS |
|
|
Text Classification (SP)
|
35% |
38
370.2 IPS |
|
|
Text Classification (HP)
|
35% |
58
528.4 IPS |
|
|
Text Classification (Q)
|
33% |
44
533.3 IPS |
|
|
Machine Translation (SP)
|
100% |
821
14.1 IPS |
|
|
Machine Translation (HP)
|
97% |
1059
18.3 IPS |
|
|
Machine Translation (Q)
|
43% |
273
15.5 IPS |
