HMD Global Nokia G11
Geekbench ML Score
195
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | July 16 2023 07:59 AM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| 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 | 2.51 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
99
10.6 IPS |
|
|
Image Classification (F16)
|
100% |
215
23.1 IPS |
|
|
Image Classification (I8)
|
80% |
196
21.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
190
1.18 IPS |
|
|
Image Segmentation (F16)
|
100% |
375
2.32 IPS |
|
|
Image Segmentation (I8)
|
89% |
374
2.31 IPS |
|
|
Pose Estimation (F32)
|
100% |
74
0.30 IPS |
|
|
Pose Estimation (F16)
|
100% |
184
0.74 IPS |
|
|
Pose Estimation (I8)
|
80% |
182
0.74 IPS |
|
|
Object Detection (F32)
|
100% |
110
3.87 IPS |
|
|
Object Detection (F16)
|
100% |
197
6.91 IPS |
|
|
Object Detection (I8)
|
54% |
194
6.82 IPS |
|
|
Face Detection (F32)
|
100% |
223
2.56 IPS |
|
|
Face Detection (F16)
|
97% |
457
5.25 IPS |
|
|
Face Detection (I8)
|
75% |
424
4.87 IPS |
|
|
Text Classification (F32)
|
100% |
186
73.7 IPS |
|
|
Text Classification (F16)
|
98% |
317
125.4 IPS |
|
|
Machine Translation (F32)
|
100% |
108
16.6 IPS |
|
|
Machine Translation (F16)
|
100% |
107
16.5 IPS |
