samsung SM-N976N
Geekbench ML Score
258
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | June 13 2021 07:46 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 11 |
| Model | samsung SM-N976N |
| Model ID | samsung SM-N976N |
| Motherboard | exynos9825 |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 83 architecture 8 variant 1 part 3 revision 0 |
| Base Frequency | 1.95 GHz |
| Cluster 1 | 4 Cores @ 1.95 GHz |
| Cluster 2 | 2 Cores @ 2.40 GHz |
| Cluster 3 | 2 Cores @ 2.73 GHz |
| Memory Information | |
|---|---|
| Size | 11.03 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
220
23.6 IPS |
|
|
Image Classification (F16)
|
100% |
209
22.4 IPS |
|
|
Image Classification (I8)
|
81% |
165
17.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
407
2.51 IPS |
|
|
Image Segmentation (F16)
|
100% |
414
2.56 IPS |
|
|
Image Segmentation (I8)
|
89% |
684
4.23 IPS |
|
|
Pose Estimation (F32)
|
100% |
165
0.67 IPS |
|
|
Pose Estimation (F16)
|
100% |
162
0.66 IPS |
|
|
Pose Estimation (I8)
|
80% |
185
0.75 IPS |
|
|
Object Detection (F32)
|
100% |
208
7.30 IPS |
|
|
Object Detection (F16)
|
100% |
234
8.21 IPS |
|
|
Object Detection (I8)
|
52% |
235
8.23 IPS |
|
|
Face Detection (F32)
|
100% |
307
3.53 IPS |
|
|
Face Detection (F16)
|
100% |
243
2.79 IPS |
|
|
Face Detection (I8)
|
75% |
351
4.03 IPS |
|
|
Text Classification (F32)
|
100% |
196
77.4 IPS |
|
|
Text Classification (F16)
|
100% |
207
81.7 IPS |
|
|
Machine Translation (F32)
|
100% |
366
56.5 IPS |
|
|
Machine Translation (F16)
|
100% |
366
56.5 IPS |
