samsung SM-G970F
Geekbench ML Score
986
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for Android AArch64
Result Information
| User | aguijon |
| Upload Date | August 28 2024 04:39 AM |
| Views | 2 |
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 | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
436
46.7 IPS |
|
|
Image Classification (F16)
|
100% |
698
74.8 IPS |
|
|
Image Classification (I8)
|
80% |
741
79.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1144
7.07 IPS |
|
|
Image Segmentation (F16)
|
100% |
2131
13.2 IPS |
|
|
Image Segmentation (I8)
|
89% |
2928
18.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
414
1.68 IPS |
|
|
Pose Estimation (F16)
|
100% |
2061
8.34 IPS |
|
|
Pose Estimation (I8)
|
80% |
2020
8.17 IPS |
|
|
Object Detection (F32)
|
100% |
586
20.6 IPS |
|
|
Object Detection (F16)
|
100% |
982
34.5 IPS |
|
|
Object Detection (I8)
|
54% |
963
33.8 IPS |
|
|
Face Detection (F32)
|
100% |
1455
16.7 IPS |
|
|
Face Detection (F16)
|
97% |
2756
31.7 IPS |
|
|
Face Detection (I8)
|
75% |
2315
26.6 IPS |
|
|
Text Classification (F32)
|
100% |
605
239.3 IPS |
|
|
Text Classification (F16)
|
98% |
649
256.6 IPS |
|
|
Machine Translation (F32)
|
100% |
371
57.1 IPS |
|
|
Machine Translation (F16)
|
100% |
370
57.0 IPS |
