HMD Global Nokia C3
Geekbench ML Score
93
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | February 22 2023 11:28 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 10 |
| Model | HMD Global Nokia C3 |
| Model ID | HMD Global Nokia C3 |
| Motherboard | GamoraPlus |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Unisoc |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3333 revision 0 |
| Base Frequency | 1.20 GHz |
| Cluster 1 | 4 Cores @ 1.20 GHz |
| Cluster 2 | 4 Cores @ 1.60 GHz |
| Memory Information | |
|---|---|
| Size | 1.79 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
65
7.00 IPS |
|
|
Image Classification (F16)
|
100% |
66
7.04 IPS |
|
|
Image Classification (I8)
|
81% |
198
21.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
117
0.73 IPS |
|
|
Image Segmentation (F16)
|
100% |
117
0.72 IPS |
|
|
Image Segmentation (I8)
|
89% |
367
2.27 IPS |
|
|
Pose Estimation (F32)
|
100% |
67
0.27 IPS |
|
|
Pose Estimation (F16)
|
100% |
67
0.27 IPS |
|
|
Pose Estimation (I8)
|
80% |
90
0.36 IPS |
|
|
Object Detection (F32)
|
100% |
94
3.30 IPS |
|
|
Object Detection (F16)
|
100% |
95
3.33 IPS |
|
|
Object Detection (I8)
|
52% |
187
6.57 IPS |
|
|
Face Detection (F32)
|
100% |
138
1.59 IPS |
|
|
Face Detection (F16)
|
100% |
134
1.53 IPS |
|
|
Face Detection (I8)
|
75% |
295
3.39 IPS |
|
|
Text Classification (F32)
|
100% |
81
32.2 IPS |
|
|
Text Classification (F16)
|
100% |
81
32.2 IPS |
|
|
Machine Translation (F32)
|
100% |
17
2.68 IPS |
|
|
Machine Translation (F16)
|
100% |
17
2.67 IPS |
