Moorechip Retroid Pocket 5
Geekbench AI Score
1011
Single Precision Score
1707
Half Precision Score
1373
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | MidniteMarv |
| Upload Date | August 31 2025 06:33 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Moorechip Retroid Pocket 5 |
| Model ID | Moorechip Retroid Pocket 5 |
| Motherboard | kona |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3341 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 2.84 GHz |
| Memory Information | |
|---|---|
| Size | 7.52 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
721
134.0 IPS |
|
|
Image Classification (HP)
|
100% |
1130
210.1 IPS |
|
|
Image Classification (Q)
|
100% |
1076
200.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1102
17.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1826
29.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1794
29.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4307
5.03 IPS |
|
|
Pose Estimation (HP)
|
99% |
7621
8.92 IPS |
|
|
Pose Estimation (Q)
|
96% |
7501
8.79 IPS |
|
|
Object Detection (SP)
|
100% |
627
49.7 IPS |
|
|
Object Detection (HP)
|
99% |
967
76.7 IPS |
|
|
Object Detection (Q)
|
87% |
913
73.3 IPS |
|
|
Face Detection (SP)
|
100% |
1976
23.5 IPS |
|
|
Face Detection (HP)
|
100% |
3516
41.8 IPS |
|
|
Face Detection (Q)
|
97% |
3065
36.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2110
16.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
3313
25.6 IPS |
|
|
Depth Estimation (Q)
|
61% |
2545
25.0 IPS |
|
|
Style Transfer (SP)
|
100% |
5123
6.59 IPS |
|
|
Style Transfer (HP)
|
100% |
11055
14.2 IPS |
|
|
Style Transfer (Q)
|
98% |
10941
14.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1146
42.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1994
73.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1975
73.2 IPS |
|
|
Text Classification (SP)
|
35% |
38
365.8 IPS |
|
|
Text Classification (HP)
|
35% |
65
587.6 IPS |
|
|
Text Classification (Q)
|
33% |
48
582.0 IPS |
|
|
Machine Translation (SP)
|
100% |
564
9.71 IPS |
|
|
Machine Translation (HP)
|
97% |
832
14.4 IPS |
|
|
Machine Translation (Q)
|
43% |
224
12.7 IPS |
