Moorechip Retroid Pocket 5
Geekbench AI Score
464
Single Precision Score
214
Half Precision Score
2098
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 31 2025 06:47 PM |
| Views | 3 |
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% |
504
93.7 IPS |
|
|
Image Classification (HP)
|
100% |
882
164.0 IPS |
|
|
Image Classification (Q)
|
97% |
1564
291.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
680
11.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
204
3.31 IPS |
|
|
Image Segmentation (Q)
|
98% |
1382
22.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1611
1.88 IPS |
|
|
Pose Estimation (HP)
|
0% |
0
5.47 IPS |
|
|
Pose Estimation (Q)
|
96% |
11891
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
459
36.4 IPS |
|
|
Object Detection (HP)
|
100% |
155
12.3 IPS |
|
|
Object Detection (Q)
|
85% |
1817
146.2 IPS |
|
|
Face Detection (SP)
|
100% |
1301
15.5 IPS |
|
|
Face Detection (HP)
|
100% |
378
4.49 IPS |
|
|
Face Detection (Q)
|
97% |
4004
47.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
537
4.14 IPS |
|
|
Depth Estimation (HP)
|
99% |
319
2.46 IPS |
|
|
Depth Estimation (Q)
|
63% |
6972
64.9 IPS |
|
|
Style Transfer (SP)
|
100% |
814
1.05 IPS |
|
|
Style Transfer (HP)
|
100% |
526
0.68 IPS |
|
|
Style Transfer (Q)
|
98% |
4046
5.22 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
833
30.8 IPS |
|
|
Image Super-Resolution (HP)
|
56% |
1425
77.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5979
221.5 IPS |
|
|
Text Classification (SP)
|
71% |
13
19.4 IPS |
|
|
Text Classification (HP)
|
100% |
229
305.7 IPS |
|
|
Text Classification (Q)
|
93% |
234
314.2 IPS |
|
|
Machine Translation (SP)
|
100% |
302
5.21 IPS |
|
|
Machine Translation (HP)
|
100% |
359
6.19 IPS |
|
|
Machine Translation (Q)
|
54% |
224
6.32 IPS |
