Anbernic RG477M
Geekbench AI Score
1143
Single Precision Score
1514
Half Precision Score
1260
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | MidniteMarv |
| Upload Date | September 14 2025 08:57 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
648
120.5 IPS |
|
|
Image Classification (HP)
|
100% |
656
121.9 IPS |
|
|
Image Classification (Q)
|
97% |
581
108.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1507
24.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2784
45.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2203
35.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7242
8.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
11272
13.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12180
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
574
45.5 IPS |
|
|
Object Detection (HP)
|
99% |
615
48.8 IPS |
|
|
Object Detection (Q)
|
83% |
753
60.8 IPS |
|
|
Face Detection (SP)
|
100% |
2379
28.3 IPS |
|
|
Face Detection (HP)
|
100% |
3814
45.3 IPS |
|
|
Face Detection (Q)
|
96% |
2763
33.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3230
24.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
5115
39.5 IPS |
|
|
Depth Estimation (Q)
|
62% |
4029
38.3 IPS |
|
|
Style Transfer (SP)
|
100% |
10114
13.0 IPS |
|
|
Style Transfer (HP)
|
100% |
18562
23.9 IPS |
|
|
Style Transfer (Q)
|
98% |
20761
26.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2026
74.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3085
113.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2727
101.1 IPS |
|
|
Text Classification (SP)
|
35% |
17
155.1 IPS |
|
|
Text Classification (HP)
|
29% |
11
189.6 IPS |
|
|
Text Classification (Q)
|
32% |
14
184.1 IPS |
|
|
Machine Translation (SP)
|
100% |
353
6.08 IPS |
|
|
Machine Translation (HP)
|
100% |
408
7.03 IPS |
|
|
Machine Translation (Q)
|
43% |
98
5.72 IPS |
