Anbernic RG505
Geekbench AI Score
337
Single Precision Score
337
Half Precision Score
612
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | eunu |
| Upload Date | August 03 2025 12:41 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM Unisoc |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Anbernic RG505 |
| Model ID | Anbernic RG505 |
| 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% |
179
33.3 IPS |
|
|
Image Classification (HP)
|
100% |
180
33.4 IPS |
|
|
Image Classification (Q)
|
100% |
461
85.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
210
3.41 IPS |
|
|
Image Segmentation (HP)
|
100% |
208
3.38 IPS |
|
|
Image Segmentation (Q)
|
98% |
601
9.77 IPS |
|
|
Pose Estimation (SP)
|
100% |
730
0.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
737
0.86 IPS |
|
|
Pose Estimation (Q)
|
84% |
1128
1.34 IPS |
|
|
Object Detection (SP)
|
100% |
181
14.3 IPS |
|
|
Object Detection (HP)
|
100% |
170
13.5 IPS |
|
|
Object Detection (Q)
|
83% |
389
31.5 IPS |
|
|
Face Detection (SP)
|
100% |
402
4.78 IPS |
|
|
Face Detection (HP)
|
100% |
415
4.93 IPS |
|
|
Face Detection (Q)
|
95% |
1039
12.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
542
4.17 IPS |
|
|
Depth Estimation (HP)
|
99% |
539
4.16 IPS |
|
|
Depth Estimation (Q)
|
64% |
1112
10.2 IPS |
|
|
Style Transfer (SP)
|
89% |
1435
1.86 IPS |
|
|
Style Transfer (HP)
|
89% |
1393
1.81 IPS |
|
|
Style Transfer (Q)
|
98% |
2871
3.70 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
277
10.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
287
10.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
616
22.8 IPS |
|
|
Text Classification (SP)
|
100% |
172
230.0 IPS |
|
|
Text Classification (HP)
|
100% |
168
223.7 IPS |
|
|
Text Classification (Q)
|
88% |
240
324.2 IPS |
|
|
Machine Translation (SP)
|
100% |
259
4.45 IPS |
|
|
Machine Translation (HP)
|
100% |
275
4.74 IPS |
|
|
Machine Translation (Q)
|
50% |
125
4.44 IPS |
