Alldocube iPlay60 mini Turbo
Geekbench AI Score
715
Single Precision Score
629
Half Precision Score
1272
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 16 2025 03:43 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 | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
435
80.8 IPS |
|
|
Image Classification (HP)
|
100% |
434
80.7 IPS |
|
|
Image Classification (Q)
|
100% |
1255
233.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
551
8.94 IPS |
|
|
Image Segmentation (HP)
|
100% |
549
8.90 IPS |
|
|
Image Segmentation (Q)
|
98% |
1539
25.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2027
2.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
1941
2.27 IPS |
|
|
Pose Estimation (Q)
|
84% |
3253
3.86 IPS |
|
|
Object Detection (SP)
|
100% |
369
29.2 IPS |
|
|
Object Detection (HP)
|
100% |
391
31.0 IPS |
|
|
Object Detection (Q)
|
83% |
1265
102.2 IPS |
|
|
Face Detection (SP)
|
100% |
1156
13.7 IPS |
|
|
Face Detection (HP)
|
100% |
1159
13.8 IPS |
|
|
Face Detection (Q)
|
95% |
3167
37.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1568
12.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1570
12.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
3020
27.7 IPS |
|
|
Style Transfer (SP)
|
89% |
3289
4.27 IPS |
|
|
Style Transfer (HP)
|
89% |
3360
4.36 IPS |
|
|
Style Transfer (Q)
|
98% |
6034
7.78 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
882
32.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
242
8.92 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
612
22.7 IPS |
|
|
Text Classification (SP)
|
100% |
152
202.7 IPS |
|
|
Text Classification (HP)
|
100% |
151
200.9 IPS |
|
|
Text Classification (Q)
|
88% |
251
339.2 IPS |
|
|
Machine Translation (SP)
|
100% |
247
4.25 IPS |
|
|
Machine Translation (HP)
|
100% |
243
4.19 IPS |
|
|
Machine Translation (Q)
|
50% |
158
5.61 IPS |
