samsung SM-G965F
Geekbench ML Score
792
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | July 16 2022 03:30 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 10 |
| Model | samsung SM-G965F |
| Model ID | samsung SM-G965F |
| Motherboard | exynos9810 |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 83 architecture 8 variant 1 part 2 revision 0 |
| Base Frequency | 1.79 GHz |
| Cluster 1 | 4 Cores @ 1.79 GHz |
| Cluster 2 | 4 Cores @ 2.70 GHz |
| Memory Information | |
|---|---|
| Size | 5.49 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
382
41.0 IPS |
|
|
Image Classification (F16)
|
100% |
636
68.1 IPS |
|
|
Image Classification (I8)
|
81% |
597
64.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
786
4.86 IPS |
|
|
Image Segmentation (F16)
|
100% |
2773
17.1 IPS |
|
|
Image Segmentation (I8)
|
89% |
2649
16.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
285
1.15 IPS |
|
|
Pose Estimation (F16)
|
0% |
1040
4.21 IPS |
|
|
Pose Estimation (I8)
|
0% |
1038
4.20 IPS |
|
|
Object Detection (F32)
|
100% |
282
9.91 IPS |
|
|
Object Detection (F16)
|
99% |
606
21.3 IPS |
|
|
Object Detection (I8)
|
54% |
544
19.1 IPS |
|
|
Face Detection (F32)
|
100% |
1190
13.7 IPS |
|
|
Face Detection (F16)
|
97% |
2330
26.8 IPS |
|
|
Face Detection (I8)
|
75% |
2010
23.1 IPS |
|
|
Text Classification (F32)
|
100% |
587
232.2 IPS |
|
|
Text Classification (F16)
|
98% |
926
366.2 IPS |
|
|
Machine Translation (F32)
|
100% |
414
63.8 IPS |
|
|
Machine Translation (F16)
|
100% |
402
62.0 IPS |
