Moorechip Retroid Pocket 5
Geekbench AI Score
1136
Single Precision Score
1121
Half Precision Score
2102
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | eunu |
| Upload Date | August 02 2025 02:12 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
559
103.9 IPS |
|
|
Image Classification (HP)
|
100% |
546
101.5 IPS |
|
|
Image Classification (Q)
|
100% |
1497
278.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
681
11.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
684
11.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1720
28.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2358
2.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
2420
2.82 IPS |
|
|
Pose Estimation (Q)
|
84% |
3839
4.55 IPS |
|
|
Object Detection (SP)
|
100% |
551
43.7 IPS |
|
|
Object Detection (HP)
|
100% |
551
43.7 IPS |
|
|
Object Detection (Q)
|
83% |
1444
116.6 IPS |
|
|
Face Detection (SP)
|
100% |
1620
19.2 IPS |
|
|
Face Detection (HP)
|
100% |
1621
19.3 IPS |
|
|
Face Detection (Q)
|
95% |
3474
41.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1768
13.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1522
11.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
3521
32.2 IPS |
|
|
Style Transfer (SP)
|
89% |
4153
5.39 IPS |
|
|
Style Transfer (HP)
|
89% |
4125
5.35 IPS |
|
|
Style Transfer (Q)
|
98% |
8957
11.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1108
40.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1151
42.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2108
78.1 IPS |
|
|
Text Classification (SP)
|
100% |
595
794.1 IPS |
|
|
Text Classification (HP)
|
100% |
594
792.2 IPS |
|
|
Text Classification (Q)
|
88% |
944
1.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
927
16.0 IPS |
|
|
Machine Translation (HP)
|
100% |
905
15.6 IPS |
|
|
Machine Translation (Q)
|
50% |
543
19.3 IPS |
