ALLDOCUBE iPlay 70 mini Ultra
Geekbench AI Score
423
Single Precision Score
419
Half Precision Score
24467
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 22 2025 07:08 PM |
| Views | 1 |
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% |
272
50.7 IPS |
|
|
Image Classification (HP)
|
100% |
273
50.8 IPS |
|
|
Image Classification (Q)
|
97% |
24114
4.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
338
5.48 IPS |
|
|
Image Segmentation (HP)
|
100% |
341
5.52 IPS |
|
|
Image Segmentation (Q)
|
98% |
16803
273.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
448
0.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
423
0.49 IPS |
|
|
Pose Estimation (Q)
|
98% |
125516
146.9 IPS |
|
|
Object Detection (SP)
|
100% |
251
19.9 IPS |
|
|
Object Detection (HP)
|
100% |
254
20.1 IPS |
|
|
Object Detection (Q)
|
86% |
10160
817.0 IPS |
|
|
Face Detection (SP)
|
100% |
614
7.30 IPS |
|
|
Face Detection (HP)
|
100% |
614
7.30 IPS |
|
|
Face Detection (Q)
|
97% |
56356
672.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
535
4.12 IPS |
|
|
Depth Estimation (HP)
|
99% |
519
4.00 IPS |
|
|
Depth Estimation (Q)
|
63% |
49141
460.1 IPS |
|
|
Style Transfer (SP)
|
100% |
867
1.12 IPS |
|
|
Style Transfer (HP)
|
100% |
865
1.11 IPS |
|
|
Style Transfer (Q)
|
98% |
201094
259.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
267
9.84 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
266
9.82 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
33995
1.26 KIPS |
|
|
Text Classification (SP)
|
100% |
391
522.1 IPS |
|
|
Text Classification (HP)
|
100% |
387
517.0 IPS |
|
|
Text Classification (Q)
|
93% |
5399
7.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
598
10.3 IPS |
|
|
Machine Translation (HP)
|
100% |
593
10.2 IPS |
|
|
Machine Translation (Q)
|
55% |
1456
38.1 IPS |
