HMD Global Nokia C300
Geekbench ML Score
220
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | July 19 2024 09:04 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | HMD Global Nokia C300 |
| Model ID | HMD Global Nokia C300 |
| Motherboard | Orion |
| 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 @ 1.80 GHz |
| Cluster 2 | 4 Cores @ 2.02 GHz |
| Memory Information | |
|---|---|
| Size | 2.61 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
114
21.3 IPS |
|
|
Image Classification (F16)
|
100% |
119
22.3 IPS |
|
|
Image Classification (I8)
|
97% |
181
34.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
168
2.80 IPS |
|
|
Image Segmentation (F16)
|
100% |
168
2.81 IPS |
|
|
Image Segmentation (I8)
|
98% |
200
3.34 IPS |
|
|
Pose Estimation (F32)
|
100% |
196
0.24 IPS |
|
|
Pose Estimation (F16)
|
100% |
197
0.24 IPS |
|
|
Pose Estimation (I8)
|
100% |
653
0.79 IPS |
|
|
Object Detection (F32)
|
100% |
127
9.48 IPS |
|
|
Object Detection (F16)
|
100% |
124
9.27 IPS |
|
|
Object Detection (I8)
|
61% |
214
15.9 IPS |
|
|
Face Detection (F32)
|
100% |
258
3.07 IPS |
|
|
Face Detection (F16)
|
100% |
260
3.09 IPS |
|
|
Face Detection (I8)
|
86% |
444
5.29 IPS |
|
|
Depth Estimation (F32)
|
100% |
229
1.77 IPS |
|
|
Depth Estimation (F16)
|
100% |
230
1.78 IPS |
|
|
Depth Estimation (I8)
|
95% |
442
3.43 IPS |
|
|
Style Transfer (F32)
|
100% |
326
0.43 IPS |
|
|
Style Transfer (F16)
|
100% |
358
0.47 IPS |
|
|
Style Transfer (I8)
|
98% |
843
1.11 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
156
5.58 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
156
5.55 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
342
12.2 IPS |
|
|
Text Classification (F32)
|
100% |
129
186.1 IPS |
|
|
Text Classification (F16)
|
100% |
162
232.3 IPS |
|
|
Text Classification (I8)
|
92% |
130
187.4 IPS |
|
|
Machine Translation (F32)
|
100% |
292
5.38 IPS |
|
|
Machine Translation (F16)
|
100% |
285
5.25 IPS |
|
|
Machine Translation (I8)
|
64% |
135
2.49 IPS |
