ALLDOCUBE iPlay 70 Ultra
Geekbench AI Score
437
Single Precision Score
439
Half Precision Score
1002
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | PC-FREEDOM |
| Upload Date | September 14 2025 08:21 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | ALLDOCUBE iPlay 70 Ultra |
| Model ID | ALLDOCUBE iPlay 70 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% |
267
49.7 IPS |
|
|
Image Classification (HP)
|
100% |
269
50.0 IPS |
|
|
Image Classification (Q)
|
99% |
683
127.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
344
5.57 IPS |
|
|
Image Segmentation (HP)
|
100% |
348
5.64 IPS |
|
|
Image Segmentation (Q)
|
98% |
711
11.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
473
0.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
470
0.55 IPS |
|
|
Pose Estimation (Q)
|
98% |
1807
2.11 IPS |
|
|
Object Detection (SP)
|
100% |
260
20.6 IPS |
|
|
Object Detection (HP)
|
100% |
262
20.8 IPS |
|
|
Object Detection (Q)
|
87% |
747
59.9 IPS |
|
|
Face Detection (SP)
|
100% |
630
7.49 IPS |
|
|
Face Detection (HP)
|
100% |
638
7.58 IPS |
|
|
Face Detection (Q)
|
97% |
1537
18.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
559
4.31 IPS |
|
|
Depth Estimation (HP)
|
99% |
564
4.35 IPS |
|
|
Depth Estimation (Q)
|
64% |
1320
12.0 IPS |
|
|
Style Transfer (SP)
|
100% |
929
1.19 IPS |
|
|
Style Transfer (HP)
|
100% |
930
1.20 IPS |
|
|
Style Transfer (Q)
|
98% |
2253
2.91 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
284
10.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
285
10.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1015
37.6 IPS |
|
|
Text Classification (SP)
|
100% |
400
533.6 IPS |
|
|
Text Classification (HP)
|
100% |
400
534.3 IPS |
|
|
Text Classification (Q)
|
91% |
654
879.7 IPS |
|
|
Machine Translation (SP)
|
100% |
614
10.6 IPS |
|
|
Machine Translation (HP)
|
100% |
614
10.6 IPS |
|
|
Machine Translation (Q)
|
57% |
517
12.6 IPS |
