HMD Global Nokia G11
Geekbench ML Score
162
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | February 22 2023 12:17 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 11 |
| Model | HMD Global Nokia G11 |
| Model ID | HMD Global Nokia G11 |
| Motherboard | Shadowcat |
| 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 | 2.48 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
106
11.4 IPS |
|
|
Image Classification (F16)
|
100% |
106
11.4 IPS |
|
|
Image Classification (I8)
|
81% |
198
21.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
218
1.35 IPS |
|
|
Image Segmentation (F16)
|
100% |
218
1.34 IPS |
|
|
Image Segmentation (I8)
|
89% |
498
3.07 IPS |
|
|
Pose Estimation (F32)
|
100% |
92
0.37 IPS |
|
|
Pose Estimation (F16)
|
100% |
90
0.37 IPS |
|
|
Pose Estimation (I8)
|
80% |
124
0.50 IPS |
|
|
Object Detection (F32)
|
100% |
149
5.24 IPS |
|
|
Object Detection (F16)
|
100% |
148
5.21 IPS |
|
|
Object Detection (I8)
|
52% |
255
8.96 IPS |
|
|
Face Detection (F32)
|
100% |
205
2.36 IPS |
|
|
Face Detection (F16)
|
100% |
207
2.38 IPS |
|
|
Face Detection (I8)
|
75% |
364
4.18 IPS |
|
|
Text Classification (F32)
|
100% |
134
52.8 IPS |
|
|
Text Classification (F16)
|
100% |
134
52.9 IPS |
|
|
Machine Translation (F32)
|
100% |
107
16.4 IPS |
|
|
Machine Translation (F16)
|
100% |
107
16.4 IPS |
