Anbernic RG477M
Geekbench AI Score
1747
Single Precision Score
1765
Half Precision Score
3219
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | MidniteMarv |
| Upload Date | September 14 2025 08:54 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1466
272.6 IPS |
|
|
Image Classification (HP)
|
100% |
1491
277.2 IPS |
|
|
Image Classification (Q)
|
100% |
2657
494.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1548
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1525
24.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2910
47.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2603
3.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
2590
3.02 IPS |
|
|
Pose Estimation (Q)
|
84% |
6392
7.58 IPS |
|
|
Object Detection (SP)
|
98% |
1297
103.3 IPS |
|
|
Object Detection (HP)
|
98% |
1318
104.8 IPS |
|
|
Object Detection (Q)
|
83% |
2151
173.8 IPS |
|
|
Face Detection (SP)
|
100% |
2289
27.2 IPS |
|
|
Face Detection (HP)
|
100% |
2274
27.0 IPS |
|
|
Face Detection (Q)
|
95% |
5154
61.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
2075
16.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2282
17.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
5125
46.9 IPS |
|
|
Style Transfer (SP)
|
89% |
6319
8.20 IPS |
|
|
Style Transfer (HP)
|
89% |
6193
8.04 IPS |
|
|
Style Transfer (Q)
|
98% |
13289
17.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1189
43.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1205
44.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3498
129.6 IPS |
|
|
Text Classification (SP)
|
100% |
711
949.3 IPS |
|
|
Text Classification (HP)
|
99% |
730
974.7 IPS |
|
|
Text Classification (Q)
|
88% |
1350
1.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
1365
23.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1342
23.1 IPS |
|
|
Machine Translation (Q)
|
50% |
679
24.1 IPS |
