ALLDOCUBE iPlay 70 mini Ultra
Geekbench AI Score
1827
Single Precision Score
1780
Half Precision Score
3092
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | Titus88 |
| Upload Date | February 02 2026 09:39 PM |
| Views | 11 |
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% |
798
148.4 IPS |
|
|
Image Classification (HP)
|
100% |
666
123.9 IPS |
|
|
Image Classification (Q)
|
100% |
1402
260.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1543
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1513
24.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2939
47.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2782
3.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
2718
3.17 IPS |
|
|
Pose Estimation (Q)
|
84% |
6624
7.86 IPS |
|
|
Object Detection (SP)
|
98% |
1484
118.1 IPS |
|
|
Object Detection (HP)
|
98% |
1459
116.1 IPS |
|
|
Object Detection (Q)
|
83% |
2337
188.8 IPS |
|
|
Face Detection (SP)
|
100% |
2726
32.4 IPS |
|
|
Face Detection (HP)
|
100% |
2740
32.6 IPS |
|
|
Face Detection (Q)
|
95% |
5320
63.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
2856
22.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2890
22.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
5256
48.1 IPS |
|
|
Style Transfer (SP)
|
89% |
7199
9.35 IPS |
|
|
Style Transfer (HP)
|
89% |
7164
9.30 IPS |
|
|
Style Transfer (Q)
|
98% |
13960
18.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1392
51.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1361
50.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3552
131.6 IPS |
|
|
Text Classification (SP)
|
100% |
793
1.06 KIPS |
|
|
Text Classification (HP)
|
99% |
808
1.08 KIPS |
|
|
Text Classification (Q)
|
88% |
1279
1.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
1320
22.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1281
22.1 IPS |
|
|
Machine Translation (Q)
|
50% |
708
25.1 IPS |
