Alldocube iPlay60 mini Turbo
Geekbench AI Score
361
Single Precision Score
295
Half Precision Score
704
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | Titus88 |
| Upload Date | February 04 2026 08:09 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Alldocube iPlay60 mini Turbo |
| Model ID | Alldocube iPlay60 mini Turbo |
| Motherboard | Alldocube |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 2 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 4 Cores @ 2.21 GHz |
| Memory Information | |
|---|---|
| Size | 7.32 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
158
29.3 IPS |
|
|
Image Classification (HP)
|
100% |
149
27.7 IPS |
|
|
Image Classification (Q)
|
100% |
710
132.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
162
2.63 IPS |
|
|
Image Segmentation (HP)
|
100% |
150
2.43 IPS |
|
|
Image Segmentation (Q)
|
98% |
631
10.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
732
0.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
587
0.69 IPS |
|
|
Pose Estimation (Q)
|
84% |
1258
1.49 IPS |
|
|
Object Detection (SP)
|
100% |
143
11.4 IPS |
|
|
Object Detection (HP)
|
100% |
148
11.7 IPS |
|
|
Object Detection (Q)
|
83% |
586
47.4 IPS |
|
|
Face Detection (SP)
|
100% |
759
9.02 IPS |
|
|
Face Detection (HP)
|
100% |
693
8.23 IPS |
|
|
Face Detection (Q)
|
95% |
831
9.92 IPS |
|
|
Depth Estimation (SP)
|
100% |
911
7.02 IPS |
|
|
Depth Estimation (HP)
|
99% |
364
2.80 IPS |
|
|
Depth Estimation (Q)
|
64% |
1044
9.56 IPS |
|
|
Style Transfer (SP)
|
89% |
2093
2.72 IPS |
|
|
Style Transfer (HP)
|
89% |
1210
1.57 IPS |
|
|
Style Transfer (Q)
|
98% |
4213
5.43 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
261
9.62 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
238
8.78 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
614
22.8 IPS |
|
|
Text Classification (SP)
|
100% |
152
203.4 IPS |
|
|
Text Classification (HP)
|
100% |
150
200.0 IPS |
|
|
Text Classification (Q)
|
88% |
258
347.7 IPS |
|
|
Machine Translation (SP)
|
100% |
246
4.24 IPS |
|
|
Machine Translation (HP)
|
100% |
243
4.18 IPS |
|
|
Machine Translation (Q)
|
50% |
157
5.57 IPS |
