INCAR G3_EEA
Geekbench AI Score
126
Single Precision Score
125
Half Precision Score
169
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 21 2025 04:41 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM Unisoc |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | INCAR G3_EEA |
| Model ID | INCAR G3_EEA |
| Motherboard | ums312_2h10 |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Unisoc |
| Topology | 1 Processor, 4 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Base Frequency | 1.82 GHz |
| Cluster 1 | 3 Cores @ 1.82 GHz |
| Cluster 2 | 1 Core @ 2.00 GHz |
| Memory Information | |
|---|---|
| Size | 3.72 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
54
9.99 IPS |
|
|
Image Classification (HP)
|
100% |
54
10.1 IPS |
|
|
Image Classification (Q)
|
100% |
113
21.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
67
1.08 IPS |
|
|
Image Segmentation (HP)
|
100% |
67
1.08 IPS |
|
|
Image Segmentation (Q)
|
98% |
134
2.18 IPS |
|
|
Pose Estimation (SP)
|
100% |
268
0.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
268
0.31 IPS |
|
|
Pose Estimation (Q)
|
84% |
200
0.24 IPS |
|
|
Object Detection (SP)
|
100% |
54
4.26 IPS |
|
|
Object Detection (HP)
|
100% |
54
4.26 IPS |
|
|
Object Detection (Q)
|
83% |
110
8.87 IPS |
|
|
Face Detection (SP)
|
100% |
182
2.16 IPS |
|
|
Face Detection (HP)
|
100% |
182
2.16 IPS |
|
|
Face Detection (Q)
|
95% |
303
3.62 IPS |
|
|
Depth Estimation (SP)
|
100% |
219
1.69 IPS |
|
|
Depth Estimation (HP)
|
99% |
210
1.62 IPS |
|
|
Depth Estimation (Q)
|
64% |
239
2.19 IPS |
|
|
Style Transfer (SP)
|
89% |
440
0.57 IPS |
|
|
Style Transfer (HP)
|
89% |
440
0.57 IPS |
|
|
Style Transfer (Q)
|
98% |
550
0.71 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
124
4.60 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
125
4.61 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
133
4.94 IPS |
|
|
Text Classification (SP)
|
100% |
69
91.6 IPS |
|
|
Text Classification (HP)
|
100% |
69
91.5 IPS |
|
|
Text Classification (Q)
|
88% |
114
153.9 IPS |
|
|
Machine Translation (SP)
|
100% |
131
2.25 IPS |
|
|
Machine Translation (HP)
|
100% |
129
2.23 IPS |
|
|
Machine Translation (Q)
|
50% |
95
3.38 IPS |
