Anbernic RG405M
Geekbench AI Score
367
Single Precision Score
358
Half Precision Score
648
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | MidniteMarv |
| Upload Date | August 31 2025 12:43 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
202
37.5 IPS |
|
|
Image Classification (HP)
|
100% |
197
36.7 IPS |
|
|
Image Classification (Q)
|
100% |
575
106.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
234
3.80 IPS |
|
|
Image Segmentation (HP)
|
100% |
229
3.72 IPS |
|
|
Image Segmentation (Q)
|
98% |
673
10.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
788
0.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
774
0.90 IPS |
|
|
Pose Estimation (Q)
|
84% |
1195
1.42 IPS |
|
|
Object Detection (SP)
|
100% |
179
14.2 IPS |
|
|
Object Detection (HP)
|
100% |
195
15.4 IPS |
|
|
Object Detection (Q)
|
83% |
440
35.5 IPS |
|
|
Face Detection (SP)
|
100% |
420
4.99 IPS |
|
|
Face Detection (HP)
|
100% |
416
4.95 IPS |
|
|
Face Detection (Q)
|
95% |
1083
12.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
582
4.48 IPS |
|
|
Depth Estimation (HP)
|
99% |
569
4.38 IPS |
|
|
Depth Estimation (Q)
|
64% |
990
9.07 IPS |
|
|
Style Transfer (SP)
|
89% |
1573
2.04 IPS |
|
|
Style Transfer (HP)
|
89% |
1506
1.95 IPS |
|
|
Style Transfer (Q)
|
98% |
2661
3.43 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
308
11.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
294
10.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
619
22.9 IPS |
|
|
Text Classification (SP)
|
100% |
193
257.0 IPS |
|
|
Text Classification (HP)
|
100% |
181
241.3 IPS |
|
|
Text Classification (Q)
|
88% |
277
374.2 IPS |
|
|
Machine Translation (SP)
|
100% |
298
5.13 IPS |
|
|
Machine Translation (HP)
|
100% |
271
4.67 IPS |
|
|
Machine Translation (Q)
|
50% |
132
4.68 IPS |
