samsung SM-G970F
Geekbench ML Score
172
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for Android AArch64
Result Information
| Upload Date | August 28 2024 04:36 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 11 |
| Model | samsung SM-G970F |
| Model ID | samsung SM-G970F |
| 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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
105
11.3 IPS |
|
|
Image Classification (F16)
|
100% |
105
11.3 IPS |
|
|
Image Classification (I8)
|
81% |
141
15.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
242
1.50 IPS |
|
|
Image Segmentation (F16)
|
100% |
249
1.54 IPS |
|
|
Image Segmentation (I8)
|
89% |
508
3.14 IPS |
|
|
Pose Estimation (F32)
|
100% |
139
0.56 IPS |
|
|
Pose Estimation (F16)
|
100% |
139
0.56 IPS |
|
|
Pose Estimation (I8)
|
80% |
167
0.68 IPS |
|
|
Object Detection (F32)
|
100% |
168
5.91 IPS |
|
|
Object Detection (F16)
|
100% |
201
7.04 IPS |
|
|
Object Detection (I8)
|
52% |
242
8.50 IPS |
|
|
Face Detection (F32)
|
100% |
222
2.55 IPS |
|
|
Face Detection (F16)
|
100% |
222
2.55 IPS |
|
|
Face Detection (I8)
|
75% |
330
3.80 IPS |
|
|
Text Classification (F32)
|
100% |
164
65.0 IPS |
|
|
Text Classification (F16)
|
100% |
100
39.4 IPS |
|
|
Machine Translation (F32)
|
100% |
105
16.2 IPS |
|
|
Machine Translation (F16)
|
100% |
93
14.3 IPS |
