HMD Global Nokia G22
Geekbench ML Score
164
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | August 13 2023 10:31 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | HMD Global Nokia G22 |
| Model ID | HMD Global Nokia G22 |
| Motherboard | Sunfire |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Unisoc |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Base Frequency | 1.61 GHz |
| Cluster 1 | 8 Cores @ 1.61 GHz |
| Memory Information | |
|---|---|
| Size | 3.49 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
97
10.4 IPS |
|
|
Image Classification (F16)
|
100% |
97
10.3 IPS |
|
|
Image Classification (I8)
|
81% |
205
22.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
223
1.38 IPS |
|
|
Image Segmentation (F16)
|
100% |
222
1.37 IPS |
|
|
Image Segmentation (I8)
|
89% |
515
3.18 IPS |
|
|
Pose Estimation (F32)
|
100% |
95
0.38 IPS |
|
|
Pose Estimation (F16)
|
100% |
94
0.38 IPS |
|
|
Pose Estimation (I8)
|
80% |
125
0.51 IPS |
|
|
Object Detection (F32)
|
100% |
152
5.35 IPS |
|
|
Object Detection (F16)
|
100% |
153
5.35 IPS |
|
|
Object Detection (I8)
|
52% |
264
9.26 IPS |
|
|
Face Detection (F32)
|
100% |
213
2.44 IPS |
|
|
Face Detection (F16)
|
100% |
212
2.44 IPS |
|
|
Face Detection (I8)
|
75% |
389
4.47 IPS |
|
|
Text Classification (F32)
|
100% |
139
54.9 IPS |
|
|
Text Classification (F16)
|
100% |
135
53.4 IPS |
|
|
Machine Translation (F32)
|
100% |
110
16.9 IPS |
|
|
Machine Translation (F16)
|
100% |
110
16.9 IPS |
