ALLDOCUBE iPlay 70 mini Ultra
Geekbench AI Score
2018
Single Precision Score
1993
Half Precision Score
3434
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | PC-FREEDOM |
| Upload Date | September 14 2025 08:33 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | ALLDOCUBE iPlay 70 mini Ultra |
| Model ID | ALLDOCUBE iPlay 70 mini Ultra |
| Motherboard | Alldocube |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 3 Cores @ 1.90 GHz |
| Cluster 2 | 4 Cores @ 2.61 GHz |
| Cluster 3 | 1 Core @ 2.80 GHz |
| Memory Information | |
|---|---|
| Size | 11.06 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1534
285.2 IPS |
|
|
Image Classification (HP)
|
100% |
1481
275.4 IPS |
|
|
Image Classification (Q)
|
100% |
2729
507.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1670
27.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1656
26.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2926
47.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2979
3.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
2909
3.39 IPS |
|
|
Pose Estimation (Q)
|
84% |
6769
8.03 IPS |
|
|
Object Detection (SP)
|
98% |
1505
119.7 IPS |
|
|
Object Detection (HP)
|
98% |
1505
119.8 IPS |
|
|
Object Detection (Q)
|
83% |
2470
199.5 IPS |
|
|
Face Detection (SP)
|
100% |
2775
33.0 IPS |
|
|
Face Detection (HP)
|
100% |
2768
32.9 IPS |
|
|
Face Detection (Q)
|
95% |
5460
65.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
2805
21.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2790
21.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
5228
47.9 IPS |
|
|
Style Transfer (SP)
|
89% |
7414
9.62 IPS |
|
|
Style Transfer (HP)
|
89% |
7410
9.62 IPS |
|
|
Style Transfer (Q)
|
98% |
14845
19.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1536
56.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1494
55.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3835
142.1 IPS |
|
|
Text Classification (SP)
|
100% |
833
1.11 KIPS |
|
|
Text Classification (HP)
|
99% |
828
1.11 KIPS |
|
|
Text Classification (Q)
|
88% |
1389
1.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
1321
22.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1301
22.4 IPS |
|
|
Machine Translation (Q)
|
50% |
758
26.9 IPS |
