Anbernic RG405M
Geekbench AI Score
68
Single Precision Score
68
Half Precision Score
102
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 31 2025 03:28 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM Unisoc |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Anbernic RG405M |
| Model ID | Anbernic RG405M |
| Motherboard | ums512_1h10 |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Unisoc |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 8 Cores @ 2.00 GHz |
| Memory Information | |
|---|---|
| Size | 3.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
41
7.62 IPS |
|
|
Image Classification (HP)
|
100% |
41
7.59 IPS |
|
|
Image Classification (Q)
|
97% |
265
49.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
57
0.93 IPS |
|
|
Image Segmentation (HP)
|
100% |
58
0.93 IPS |
|
|
Image Segmentation (Q)
|
73% |
188
3.24 IPS |
|
|
Pose Estimation (SP)
|
100% |
76
0.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
76
0.09 IPS |
|
|
Pose Estimation (Q)
|
0
|
||
|
Object Detection (SP)
|
100% |
42
3.30 IPS |
|
|
Object Detection (HP)
|
100% |
42
3.33 IPS |
|
|
Object Detection (Q)
|
84% |
228
18.4 IPS |
|
|
Face Detection (SP)
|
100% |
95
1.12 IPS |
|
|
Face Detection (HP)
|
100% |
95
1.13 IPS |
|
|
Face Detection (Q)
|
97% |
494
5.90 IPS |
|
|
Depth Estimation (SP)
|
100% |
85
0.66 IPS |
|
|
Depth Estimation (HP)
|
99% |
87
0.67 IPS |
|
|
Depth Estimation (Q)
|
64% |
236
2.16 IPS |
|
|
Style Transfer (SP)
|
100% |
146
0.19 IPS |
|
|
Style Transfer (HP)
|
100% |
146
0.19 IPS |
|
|
Style Transfer (Q)
|
98% |
521
0.67 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
47
1.72 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46
1.72 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
609
22.6 IPS |
|
|
Text Classification (SP)
|
100% |
62
82.6 IPS |
|
|
Text Classification (HP)
|
100% |
62
82.5 IPS |
|
|
Text Classification (Q)
|
91% |
9
12.4 IPS |
|
|
Machine Translation (SP)
|
100% |
93
1.60 IPS |
|
|
Machine Translation (HP)
|
100% |
88
1.51 IPS |
|
|
Machine Translation (Q)
|
58% |
33
0.79 IPS |
