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 | June 18 2025 09:03 PM |
| Views | 1 |
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% |
55
10.2 IPS |
|
|
Image Classification (HP)
|
100% |
55
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% |
135
2.19 IPS |
|
|
Pose Estimation (SP)
|
100% |
261
0.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
266
0.31 IPS |
|
|
Pose Estimation (Q)
|
84% |
201
0.24 IPS |
|
|
Object Detection (SP)
|
100% |
54
4.27 IPS |
|
|
Object Detection (HP)
|
100% |
54
4.27 IPS |
|
|
Object Detection (Q)
|
83% |
110
8.88 IPS |
|
|
Face Detection (SP)
|
100% |
180
2.14 IPS |
|
|
Face Detection (HP)
|
100% |
180
2.14 IPS |
|
|
Face Detection (Q)
|
95% |
305
3.64 IPS |
|
|
Depth Estimation (SP)
|
100% |
232
1.79 IPS |
|
|
Depth Estimation (HP)
|
99% |
222
1.71 IPS |
|
|
Depth Estimation (Q)
|
64% |
239
2.19 IPS |
|
|
Style Transfer (SP)
|
89% |
438
0.57 IPS |
|
|
Style Transfer (HP)
|
89% |
436
0.57 IPS |
|
|
Style Transfer (Q)
|
98% |
551
0.71 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
122
4.50 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
121
4.47 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
133
4.93 IPS |
|
|
Text Classification (SP)
|
100% |
70
92.9 IPS |
|
|
Text Classification (HP)
|
100% |
69
92.3 IPS |
|
|
Text Classification (Q)
|
88% |
116
156.0 IPS |
|
|
Machine Translation (SP)
|
100% |
131
2.26 IPS |
|
|
Machine Translation (HP)
|
100% |
130
2.24 IPS |
|
|
Machine Translation (Q)
|
50% |
96
3.41 IPS |
