Anbernic RG477M
Geekbench AI Score
1142
Single Precision Score
4607
Half Precision Score
4750
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | MidniteMarv |
| Upload Date | September 14 2025 09:18 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Anbernic RG477M |
| Model ID | Anbernic RG477M |
| Motherboard | k6897v1_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3405 revision 0 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores @ 2.20 GHz |
| Cluster 2 | 3 Cores @ 3.20 GHz |
| Cluster 3 | 1 Core @ 3.35 GHz |
| Memory Information | |
|---|---|
| Size | 7.64 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1019
189.4 IPS |
|
|
Image Classification (HP)
|
100% |
4226
785.9 IPS |
|
|
Image Classification (Q)
|
99% |
7920
1.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
673
10.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4188
67.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1794
29.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8688
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17599
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
73325
85.9 IPS |
|
|
Object Detection (SP)
|
100% |
711
56.4 IPS |
|
|
Object Detection (HP)
|
100% |
4329
343.4 IPS |
|
|
Object Detection (Q)
|
86% |
5333
429.0 IPS |
|
|
Face Detection (SP)
|
100% |
3267
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
9791
116.3 IPS |
|
|
Face Detection (Q)
|
97% |
11455
136.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
906
6.98 IPS |
|
|
Depth Estimation (HP)
|
99% |
19066
146.9 IPS |
|
|
Depth Estimation (Q)
|
62% |
31728
301.3 IPS |
|
|
Style Transfer (SP)
|
100% |
3539
4.55 IPS |
|
|
Style Transfer (HP)
|
100% |
710
0.91 IPS |
|
|
Style Transfer (Q)
|
30% |
532
8.02 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2483
91.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10278
379.5 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
7232
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
104
139.4 IPS |
|
|
Text Classification (HP)
|
100% |
1761
2.35 KIPS |
|
|
Text Classification (Q)
|
93% |
1836
2.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
330
5.69 IPS |
|
|
Machine Translation (HP)
|
100% |
1332
23.0 IPS |
|
|
Machine Translation (Q)
|
60% |
410
9.24 IPS |
