Anbernic RGCUBE
Geekbench AI Score
689
Single Precision Score
766
Half Precision Score
1627
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | eunu |
| Upload Date | August 02 2025 02:32 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM Unisoc |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Anbernic RGCUBE |
| Model ID | Anbernic RGCUBE |
| Motherboard | ums9620_2h10 |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Unisoc |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Base Frequency | 2.18 GHz |
| Cluster 1 | 4 Cores @ 2.18 GHz |
| Cluster 2 | 3 Cores @ 2.30 GHz |
| Cluster 3 | 1 Core @ 2.70 GHz |
| Memory Information | |
|---|---|
| Size | 7.71 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
419
77.9 IPS |
|
|
Image Classification (HP)
|
100% |
436
81.0 IPS |
|
|
Image Classification (Q)
|
100% |
1183
220.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
444
7.19 IPS |
|
|
Image Segmentation (HP)
|
100% |
447
7.24 IPS |
|
|
Image Segmentation (Q)
|
98% |
1368
22.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1508
1.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
1551
1.81 IPS |
|
|
Pose Estimation (Q)
|
84% |
2993
3.55 IPS |
|
|
Object Detection (SP)
|
100% |
402
31.9 IPS |
|
|
Object Detection (HP)
|
100% |
407
32.3 IPS |
|
|
Object Detection (Q)
|
83% |
1156
93.3 IPS |
|
|
Face Detection (SP)
|
100% |
887
10.5 IPS |
|
|
Face Detection (HP)
|
100% |
891
10.6 IPS |
|
|
Face Detection (Q)
|
95% |
2726
32.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1118
8.61 IPS |
|
|
Depth Estimation (HP)
|
99% |
1122
8.64 IPS |
|
|
Depth Estimation (Q)
|
64% |
2823
25.9 IPS |
|
|
Style Transfer (SP)
|
89% |
1064
1.38 IPS |
|
|
Style Transfer (HP)
|
89% |
2873
3.73 IPS |
|
|
Style Transfer (Q)
|
98% |
6707
8.65 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
678
25.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
674
24.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1685
62.4 IPS |
|
|
Text Classification (SP)
|
100% |
463
618.2 IPS |
|
|
Text Classification (HP)
|
100% |
458
611.3 IPS |
|
|
Text Classification (Q)
|
88% |
726
979.1 IPS |
|
|
Machine Translation (SP)
|
100% |
649
11.2 IPS |
|
|
Machine Translation (HP)
|
100% |
644
11.1 IPS |
|
|
Machine Translation (Q)
|
50% |
369
13.1 IPS |
