INCAR G3_EEA
Geekbench AI Score
120
Single Precision Score
124
Half Precision Score
169
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 21 2025 04:04 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
10.0 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% |
265
0.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
268
0.31 IPS |
|
|
Pose Estimation (Q)
|
84% |
201
0.24 IPS |
|
|
Object Detection (SP)
|
100% |
54
4.26 IPS |
|
|
Object Detection (HP)
|
100% |
54
4.28 IPS |
|
|
Object Detection (Q)
|
83% |
110
8.88 IPS |
|
|
Face Detection (SP)
|
100% |
181
2.15 IPS |
|
|
Face Detection (HP)
|
100% |
181
2.15 IPS |
|
|
Face Detection (Q)
|
95% |
304
3.62 IPS |
|
|
Depth Estimation (SP)
|
100% |
148
1.14 IPS |
|
|
Depth Estimation (HP)
|
99% |
209
1.61 IPS |
|
|
Depth Estimation (Q)
|
64% |
239
2.19 IPS |
|
|
Style Transfer (SP)
|
89% |
439
0.57 IPS |
|
|
Style Transfer (HP)
|
89% |
440
0.57 IPS |
|
|
Style Transfer (Q)
|
98% |
549
0.71 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
115
4.23 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
117
4.32 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
133
4.94 IPS |
|
|
Text Classification (SP)
|
100% |
69
91.6 IPS |
|
|
Text Classification (HP)
|
100% |
69
91.8 IPS |
|
|
Text Classification (Q)
|
88% |
115
154.9 IPS |
|
|
Machine Translation (SP)
|
100% |
131
2.26 IPS |
|
|
Machine Translation (HP)
|
100% |
129
2.23 IPS |
|
|
Machine Translation (Q)
|
50% |
96
3.40 IPS |
