ALLDOCUBE iPlay 70 mini Ultra
Geekbench AI Score
426
Single Precision Score
425
Half Precision Score
29783
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | Titus88 |
| Upload Date | February 03 2026 07:23 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
269
50.1 IPS |
|
|
Image Classification (HP)
|
100% |
268
49.9 IPS |
|
|
Image Classification (Q)
|
96% |
23408
4.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
333
5.39 IPS |
|
|
Image Segmentation (HP)
|
100% |
335
5.44 IPS |
|
|
Image Segmentation (Q)
|
98% |
21697
352.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
449
0.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
444
0.52 IPS |
|
|
Pose Estimation (Q)
|
98% |
133932
156.8 IPS |
|
|
Object Detection (SP)
|
100% |
253
20.1 IPS |
|
|
Object Detection (HP)
|
100% |
255
20.3 IPS |
|
|
Object Detection (Q)
|
86% |
12591
1.01 KIPS |
|
|
Face Detection (SP)
|
100% |
611
7.27 IPS |
|
|
Face Detection (HP)
|
100% |
616
7.31 IPS |
|
|
Face Detection (Q)
|
97% |
60784
724.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
539
4.16 IPS |
|
|
Depth Estimation (HP)
|
99% |
539
4.15 IPS |
|
|
Depth Estimation (Q)
|
63% |
75439
710.5 IPS |
|
|
Style Transfer (SP)
|
100% |
881
1.13 IPS |
|
|
Style Transfer (HP)
|
100% |
879
1.13 IPS |
|
|
Style Transfer (Q)
|
98% |
211526
272.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
275
10.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
276
10.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
51423
1.91 KIPS |
|
|
Text Classification (SP)
|
100% |
404
539.0 IPS |
|
|
Text Classification (HP)
|
100% |
400
533.9 IPS |
|
|
Text Classification (Q)
|
93% |
7313
9.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
602
10.4 IPS |
|
|
Machine Translation (HP)
|
100% |
595
10.2 IPS |
|
|
Machine Translation (Q)
|
55% |
1758
46.1 IPS |
