Anbernic RG405M
Geekbench AI Score
24
Single Precision Score
362
Half Precision Score
284
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | MidniteMarv |
| Upload Date | August 31 2025 01:06 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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)
|
0% |
0
23.5 IPS |
|
|
Image Classification (HP)
|
100% |
230
42.7 IPS |
|
|
Image Classification (Q)
|
97% |
210
39.3 IPS |
|
|
Image Segmentation (SP)
|
73% |
172
2.97 IPS |
|
|
Image Segmentation (HP)
|
100% |
376
6.09 IPS |
|
|
Image Segmentation (Q)
|
98% |
350
5.69 IPS |
|
|
Pose Estimation (SP)
|
100% |
730
0.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
1429
1.67 IPS |
|
|
Pose Estimation (Q)
|
95% |
1396
1.64 IPS |
|
|
Object Detection (SP)
|
1% |
0
9.30 IPS |
|
|
Object Detection (HP)
|
99% |
227
18.0 IPS |
|
|
Object Detection (Q)
|
83% |
214
17.2 IPS |
|
|
Face Detection (SP)
|
0% |
0
5.47 IPS |
|
|
Face Detection (HP)
|
100% |
914
10.9 IPS |
|
|
Face Detection (Q)
|
96% |
767
9.15 IPS |
|
|
Depth Estimation (SP)
|
1% |
1
3.58 IPS |
|
|
Depth Estimation (HP)
|
98% |
903
6.98 IPS |
|
|
Depth Estimation (Q)
|
62% |
707
6.72 IPS |
|
|
Style Transfer (SP)
|
100% |
955
1.23 IPS |
|
|
Style Transfer (HP)
|
100% |
2120
2.73 IPS |
|
|
Style Transfer (Q)
|
98% |
2117
2.73 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
325
12.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
578
21.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
566
21.0 IPS |
|
|
Text Classification (SP)
|
35% |
9
84.4 IPS |
|
|
Text Classification (HP)
|
35% |
8
71.6 IPS |
|
|
Text Classification (Q)
|
32% |
6
71.4 IPS |
|
|
Machine Translation (SP)
|
100% |
186
3.21 IPS |
|
|
Machine Translation (HP)
|
100% |
172
2.96 IPS |
|
|
Machine Translation (Q)
|
43% |
41
2.38 IPS |
