Alldocube iPlay60 mini Turbo
Geekbench AI Score
157
Single Precision Score
214
Half Precision Score
216
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 06 2025 06:05 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
126
23.4 IPS |
|
|
Image Classification (HP)
|
100% |
225
41.8 IPS |
|
|
Image Classification (Q)
|
97% |
214
40.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
176
2.86 IPS |
|
|
Image Segmentation (HP)
|
100% |
210
3.40 IPS |
|
|
Image Segmentation (Q)
|
98% |
199
3.24 IPS |
|
|
Pose Estimation (SP)
|
100% |
183
0.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
254
0.30 IPS |
|
|
Pose Estimation (Q)
|
95% |
237
0.28 IPS |
|
|
Object Detection (SP)
|
100% |
91
7.21 IPS |
|
|
Object Detection (HP)
|
100% |
152
12.1 IPS |
|
|
Object Detection (Q)
|
89% |
151
12.1 IPS |
|
|
Face Detection (SP)
|
100% |
365
4.34 IPS |
|
|
Face Detection (HP)
|
100% |
429
5.10 IPS |
|
|
Face Detection (Q)
|
97% |
458
5.46 IPS |
|
|
Depth Estimation (SP)
|
100% |
280
2.16 IPS |
|
|
Depth Estimation (HP)
|
99% |
480
3.70 IPS |
|
|
Depth Estimation (Q)
|
63% |
366
3.43 IPS |
|
|
Style Transfer (SP)
|
100% |
606
0.78 IPS |
|
|
Style Transfer (HP)
|
100% |
811
1.04 IPS |
|
|
Style Transfer (Q)
|
98% |
812
1.05 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
100
3.70 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
160
5.90 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
157
5.81 IPS |
|
|
Text Classification (SP)
|
100% |
48
64.4 IPS |
|
|
Text Classification (HP)
|
100% |
49
65.0 IPS |
|
|
Text Classification (Q)
|
91% |
94
126.0 IPS |
|
|
Machine Translation (SP)
|
100% |
85
1.47 IPS |
|
|
Machine Translation (HP)
|
100% |
87
1.51 IPS |
|
|
Machine Translation (Q)
|
57% |
75
1.83 IPS |
