ALLDOCUBE iPlay 70 mini Ultra
Geekbench AI Score
1386
Single Precision Score
2241
Half Precision Score
1757
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | PC-FREEDOM |
| Upload Date | September 14 2025 08:36 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
921
171.4 IPS |
|
|
Image Classification (HP)
|
100% |
1345
250.1 IPS |
|
|
Image Classification (Q)
|
100% |
1246
231.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1765
28.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2914
47.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2541
41.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6237
7.28 IPS |
|
|
Pose Estimation (HP)
|
99% |
11352
13.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
11122
13.0 IPS |
|
|
Object Detection (SP)
|
100% |
851
67.5 IPS |
|
|
Object Detection (HP)
|
99% |
1273
101.0 IPS |
|
|
Object Detection (Q)
|
87% |
1202
96.5 IPS |
|
|
Face Detection (SP)
|
100% |
3317
39.4 IPS |
|
|
Face Detection (HP)
|
100% |
5783
68.7 IPS |
|
|
Face Detection (Q)
|
97% |
4646
55.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3334
25.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
5711
44.1 IPS |
|
|
Depth Estimation (Q)
|
61% |
4305
42.4 IPS |
|
|
Style Transfer (SP)
|
100% |
7935
10.2 IPS |
|
|
Style Transfer (HP)
|
100% |
16730
21.5 IPS |
|
|
Style Transfer (Q)
|
98% |
16806
21.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1682
62.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2956
109.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2897
107.4 IPS |
|
|
Text Classification (SP)
|
35% |
33
322.2 IPS |
|
|
Text Classification (HP)
|
35% |
48
439.7 IPS |
|
|
Text Classification (Q)
|
33% |
37
439.2 IPS |
|
|
Machine Translation (SP)
|
100% |
625
10.8 IPS |
|
|
Machine Translation (HP)
|
97% |
720
12.5 IPS |
|
|
Machine Translation (Q)
|
43% |
184
10.4 IPS |
