HMD Global Nokia 3.4
Geekbench ML Score
130
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | August 18 2023 02:08 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | HMD Global Nokia 3.4 |
| Model ID | HMD Global Nokia 3.4 |
| Motherboard | DoctorStrange |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 10 part 2048 revision 2 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.61 GHz |
| Cluster 2 | 4 Cores @ 1.80 GHz |
| Memory Information | |
|---|---|
| Size | 2.61 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
76
8.14 IPS |
|
|
Image Classification (F16)
|
100% |
76
8.19 IPS |
|
|
Image Classification (I8)
|
81% |
287
30.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
151
0.93 IPS |
|
|
Image Segmentation (F16)
|
100% |
153
0.94 IPS |
|
|
Image Segmentation (I8)
|
89% |
415
2.56 IPS |
|
|
Pose Estimation (F32)
|
100% |
78
0.32 IPS |
|
|
Pose Estimation (F16)
|
100% |
78
0.32 IPS |
|
|
Pose Estimation (I8)
|
80% |
131
0.53 IPS |
|
|
Object Detection (F32)
|
100% |
102
3.57 IPS |
|
|
Object Detection (F16)
|
100% |
102
3.59 IPS |
|
|
Object Detection (I8)
|
52% |
237
8.32 IPS |
|
|
Face Detection (F32)
|
100% |
141
1.62 IPS |
|
|
Face Detection (F16)
|
100% |
142
1.63 IPS |
|
|
Face Detection (I8)
|
75% |
419
4.81 IPS |
|
|
Text Classification (F32)
|
100% |
90
35.6 IPS |
|
|
Text Classification (F16)
|
100% |
90
35.5 IPS |
|
|
Machine Translation (F32)
|
100% |
85
13.0 IPS |
|
|
Machine Translation (F16)
|
100% |
84
13.0 IPS |
