samsung SM-G970N
Geekbench ML Score
364
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | January 19 2022 08:59 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | samsung SM-G970N |
| Model ID | samsung SM-G970N |
| Motherboard | exynos9820 |
| 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 @ 2.31 GHz |
| Cluster 3 | 2 Cores @ 2.73 GHz |
| Memory Information | |
|---|---|
| Size | 5.29 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
116
12.4 IPS |
|
|
Image Classification (F16)
|
100% |
110
11.8 IPS |
|
|
Image Classification (I8)
|
81% |
292
31.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
309
1.91 IPS |
|
|
Image Segmentation (F16)
|
100% |
322
1.99 IPS |
|
|
Image Segmentation (I8)
|
89% |
930
5.74 IPS |
|
|
Pose Estimation (F32)
|
100% |
312
1.26 IPS |
|
|
Pose Estimation (F16)
|
100% |
1263
5.11 IPS |
|
|
Pose Estimation (I8)
|
80% |
246
0.99 IPS |
|
|
Object Detection (F32)
|
100% |
359
12.6 IPS |
|
|
Object Detection (F16)
|
99% |
553
19.4 IPS |
|
|
Object Detection (I8)
|
52% |
317
11.1 IPS |
|
|
Face Detection (F32)
|
100% |
213
2.45 IPS |
|
|
Face Detection (F16)
|
100% |
195
2.24 IPS |
|
|
Face Detection (I8)
|
75% |
401
4.60 IPS |
|
|
Text Classification (F32)
|
100% |
665
262.9 IPS |
|
|
Text Classification (F16)
|
100% |
684
270.6 IPS |
|
|
Machine Translation (F32)
|
100% |
537
82.8 IPS |
|
|
Machine Translation (F16)
|
100% |
537
82.7 IPS |
