samsung SM-N976N
Geekbench ML Score
239
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | November 06 2021 04:09 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 | 11.02 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
137
14.6 IPS |
|
|
Image Classification (F16)
|
100% |
125
13.3 IPS |
|
|
Image Classification (I8)
|
81% |
159
17.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
306
1.89 IPS |
|
|
Image Segmentation (F16)
|
100% |
301
1.86 IPS |
|
|
Image Segmentation (I8)
|
89% |
632
3.90 IPS |
|
|
Pose Estimation (F32)
|
100% |
161
0.65 IPS |
|
|
Pose Estimation (F16)
|
100% |
155
0.63 IPS |
|
|
Pose Estimation (I8)
|
80% |
187
0.76 IPS |
|
|
Object Detection (F32)
|
100% |
147
5.15 IPS |
|
|
Object Detection (F16)
|
100% |
146
5.14 IPS |
|
|
Object Detection (I8)
|
52% |
232
8.14 IPS |
|
|
Face Detection (F32)
|
100% |
266
3.05 IPS |
|
|
Face Detection (F16)
|
100% |
267
3.06 IPS |
|
|
Face Detection (I8)
|
75% |
391
4.49 IPS |
|
|
Text Classification (F32)
|
100% |
223
88.1 IPS |
|
|
Text Classification (F16)
|
100% |
231
91.2 IPS |
|
|
Machine Translation (F32)
|
100% |
565
87.0 IPS |
|
|
Machine Translation (F16)
|
100% |
556
85.6 IPS |
