Alldocube iPlay 70 mini Pro
Geekbench AI Score
522
Single Precision Score
559
Half Precision Score
1679
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | Titus88 |
| Upload Date | February 04 2026 08:19 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Alldocube iPlay 70 mini Pro |
| Model ID | Alldocube iPlay 70 mini Pro |
| Motherboard | Alldocube |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 7.41 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
368
68.4 IPS |
|
|
Image Classification (HP)
|
100% |
1266
235.4 IPS |
|
|
Image Classification (Q)
|
99% |
1803
336.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
479
7.76 IPS |
|
|
Image Segmentation (HP)
|
100% |
98
1.59 IPS |
|
|
Image Segmentation (Q)
|
98% |
1793
29.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2327
2.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
4318
5.04 IPS |
|
|
Pose Estimation (Q)
|
95% |
10737
12.6 IPS |
|
|
Object Detection (SP)
|
100% |
281
22.3 IPS |
|
|
Object Detection (HP)
|
100% |
1215
96.4 IPS |
|
|
Object Detection (Q)
|
89% |
1560
124.9 IPS |
|
|
Face Detection (SP)
|
100% |
1165
13.8 IPS |
|
|
Face Detection (HP)
|
100% |
2826
33.6 IPS |
|
|
Face Detection (Q)
|
97% |
5096
60.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
376
2.90 IPS |
|
|
Depth Estimation (HP)
|
99% |
145
1.11 IPS |
|
|
Depth Estimation (Q)
|
64% |
1316
12.1 IPS |
|
|
Style Transfer (SP)
|
100% |
1536
1.97 IPS |
|
|
Style Transfer (HP)
|
100% |
256
0.33 IPS |
|
|
Style Transfer (Q)
|
98% |
2876
3.71 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
897
33.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2900
107.1 IPS |
|
|
Image Super-Resolution (Q)
|
66% |
3936
167.4 IPS |
|
|
Text Classification (SP)
|
100% |
119
158.8 IPS |
|
|
Text Classification (HP)
|
100% |
96
128.0 IPS |
|
|
Text Classification (Q)
|
93% |
295
396.7 IPS |
|
|
Machine Translation (SP)
|
100% |
183
3.15 IPS |
|
|
Machine Translation (HP)
|
100% |
157
2.71 IPS |
|
|
Machine Translation (Q)
|
51% |
147
4.84 IPS |
