Alldocube iPlay60 mini Turbo
Geekbench AI Score
54
Single Precision Score
54
Half Precision Score
139
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 06 2025 07:16 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
31
5.71 IPS |
|
|
Image Classification (HP)
|
100% |
32
5.94 IPS |
|
|
Image Classification (Q)
|
99% |
98
18.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
41
0.67 IPS |
|
|
Image Segmentation (HP)
|
100% |
42
0.67 IPS |
|
|
Image Segmentation (Q)
|
98% |
85
1.38 IPS |
|
|
Pose Estimation (SP)
|
100% |
50
0.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
49
0.06 IPS |
|
|
Pose Estimation (Q)
|
98% |
250
0.29 IPS |
|
|
Object Detection (SP)
|
100% |
32
2.55 IPS |
|
|
Object Detection (HP)
|
100% |
32
2.54 IPS |
|
|
Object Detection (Q)
|
87% |
104
8.34 IPS |
|
|
Face Detection (SP)
|
100% |
76
0.90 IPS |
|
|
Face Detection (HP)
|
100% |
76
0.90 IPS |
|
|
Face Detection (Q)
|
97% |
204
2.43 IPS |
|
|
Depth Estimation (SP)
|
100% |
68
0.52 IPS |
|
|
Depth Estimation (HP)
|
99% |
68
0.53 IPS |
|
|
Depth Estimation (Q)
|
64% |
175
1.59 IPS |
|
|
Style Transfer (SP)
|
100% |
133
0.17 IPS |
|
|
Style Transfer (HP)
|
100% |
132
0.17 IPS |
|
|
Style Transfer (Q)
|
98% |
362
0.47 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
39
1.45 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40
1.47 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
140
5.20 IPS |
|
|
Text Classification (SP)
|
100% |
48
64.4 IPS |
|
|
Text Classification (HP)
|
100% |
49
65.0 IPS |
|
|
Text Classification (Q)
|
91% |
94
126.4 IPS |
|
|
Machine Translation (SP)
|
100% |
85
1.46 IPS |
|
|
Machine Translation (HP)
|
100% |
85
1.47 IPS |
|
|
Machine Translation (Q)
|
57% |
75
1.84 IPS |
