Moorechip Retroid Pocket 5
Geekbench AI Score
464
Single Precision Score
210
Half Precision Score
2102
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | MidniteMarv |
| Upload Date | August 31 2025 06:55 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
507
94.3 IPS |
|
|
Image Classification (HP)
|
100% |
734
136.4 IPS |
|
|
Image Classification (Q)
|
97% |
1552
289.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
676
11.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
204
3.31 IPS |
|
|
Image Segmentation (Q)
|
98% |
1401
22.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1612
1.88 IPS |
|
|
Pose Estimation (HP)
|
0% |
0
5.46 IPS |
|
|
Pose Estimation (Q)
|
96% |
11922
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
457
36.3 IPS |
|
|
Object Detection (HP)
|
100% |
155
12.3 IPS |
|
|
Object Detection (Q)
|
85% |
1814
146.0 IPS |
|
|
Face Detection (SP)
|
100% |
1295
15.4 IPS |
|
|
Face Detection (HP)
|
100% |
380
4.52 IPS |
|
|
Face Detection (Q)
|
97% |
3989
47.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
536
4.13 IPS |
|
|
Depth Estimation (HP)
|
99% |
319
2.46 IPS |
|
|
Depth Estimation (Q)
|
63% |
6921
64.5 IPS |
|
|
Style Transfer (SP)
|
100% |
814
1.05 IPS |
|
|
Style Transfer (HP)
|
100% |
526
0.68 IPS |
|
|
Style Transfer (Q)
|
98% |
4040
5.21 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
832
30.7 IPS |
|
|
Image Super-Resolution (HP)
|
56% |
1389
77.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5913
219.1 IPS |
|
|
Text Classification (SP)
|
71% |
13
19.1 IPS |
|
|
Text Classification (HP)
|
100% |
228
304.6 IPS |
|
|
Text Classification (Q)
|
93% |
245
328.5 IPS |
|
|
Machine Translation (SP)
|
100% |
301
5.19 IPS |
|
|
Machine Translation (HP)
|
100% |
360
6.21 IPS |
|
|
Machine Translation (Q)
|
54% |
222
6.25 IPS |
