Alldocube iPlay 70 mini Pro
Geekbench AI Score
438
Single Precision Score
640
Half Precision Score
526
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | Titus88 |
| Upload Date | February 04 2026 08:04 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
250
46.6 IPS |
|
|
Image Classification (HP)
|
100% |
406
75.6 IPS |
|
|
Image Classification (Q)
|
97% |
381
71.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
376
6.09 IPS |
|
|
Image Segmentation (HP)
|
100% |
655
10.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
630
10.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1991
2.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
3417
3.99 IPS |
|
|
Pose Estimation (Q)
|
95% |
3397
3.98 IPS |
|
|
Object Detection (SP)
|
100% |
227
18.0 IPS |
|
|
Object Detection (HP)
|
99% |
375
29.7 IPS |
|
|
Object Detection (Q)
|
83% |
365
29.5 IPS |
|
|
Face Detection (SP)
|
100% |
855
10.2 IPS |
|
|
Face Detection (HP)
|
100% |
1238
14.7 IPS |
|
|
Face Detection (Q)
|
96% |
1121
13.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1109
8.55 IPS |
|
|
Depth Estimation (HP)
|
98% |
1918
14.8 IPS |
|
|
Depth Estimation (Q)
|
62% |
1482
14.1 IPS |
|
|
Style Transfer (SP)
|
100% |
3222
4.14 IPS |
|
|
Style Transfer (HP)
|
100% |
6116
7.86 IPS |
|
|
Style Transfer (Q)
|
98% |
6011
7.75 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
657
24.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1001
37.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
783
29.0 IPS |
|
|
Text Classification (SP)
|
35% |
12
109.6 IPS |
|
|
Text Classification (HP)
|
29% |
8
131.6 IPS |
|
|
Text Classification (Q)
|
32% |
10
130.5 IPS |
|
|
Machine Translation (SP)
|
100% |
256
4.41 IPS |
|
|
Machine Translation (HP)
|
100% |
295
5.08 IPS |
|
|
Machine Translation (Q)
|
43% |
71
4.13 IPS |
