Moorechip Retroid Pocket 5
Geekbench AI Score
1117
Single Precision Score
1130
Half Precision Score
2097
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | MidniteMarv |
| Upload Date | August 31 2025 06:11 PM |
| Views | 7 |
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% |
525
97.6 IPS |
|
|
Image Classification (HP)
|
100% |
548
102.0 IPS |
|
|
Image Classification (Q)
|
100% |
1520
282.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
675
10.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
677
11.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1712
27.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2336
2.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
2409
2.81 IPS |
|
|
Pose Estimation (Q)
|
84% |
3836
4.55 IPS |
|
|
Object Detection (SP)
|
100% |
542
43.0 IPS |
|
|
Object Detection (HP)
|
100% |
547
43.4 IPS |
|
|
Object Detection (Q)
|
83% |
1457
117.7 IPS |
|
|
Face Detection (SP)
|
100% |
1601
19.0 IPS |
|
|
Face Detection (HP)
|
100% |
1604
19.1 IPS |
|
|
Face Detection (Q)
|
95% |
3463
41.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1589
12.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1730
13.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
3499
32.0 IPS |
|
|
Style Transfer (SP)
|
89% |
4188
5.44 IPS |
|
|
Style Transfer (HP)
|
89% |
4189
5.44 IPS |
|
|
Style Transfer (Q)
|
98% |
8951
11.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1175
43.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1172
43.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2096
77.7 IPS |
|
|
Text Classification (SP)
|
100% |
592
789.8 IPS |
|
|
Text Classification (HP)
|
100% |
589
786.4 IPS |
|
|
Text Classification (Q)
|
88% |
923
1.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
910
15.7 IPS |
|
|
Machine Translation (HP)
|
100% |
871
15.0 IPS |
|
|
Machine Translation (Q)
|
50% |
541
19.2 IPS |
