samsung SM-F9000
Geekbench ML Score
1182
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for Android AArch64
Result Information
| Upload Date | September 15 2024 06:08 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 9 |
| Model | samsung SM-F9000 |
| Model ID | samsung SM-F9000 |
| Motherboard | msmnile |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 13 part 2052 revision 14 |
| Base Frequency | 1.78 GHz |
| Cluster 1 | 4 Cores @ 1.79 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 2.84 GHz |
| Memory Information | |
|---|---|
| Size | 11.18 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
787
84.3 IPS |
|
|
Image Classification (F16)
|
100% |
1370
146.8 IPS |
|
|
Image Classification (I8)
|
80% |
1333
142.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1945
12.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
3589
22.2 IPS |
|
|
Image Segmentation (I8)
|
89% |
3391
20.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
944
3.82 IPS |
|
|
Pose Estimation (F16)
|
100% |
1672
6.76 IPS |
|
|
Pose Estimation (I8)
|
80% |
1660
6.72 IPS |
|
|
Object Detection (F32)
|
100% |
731
25.7 IPS |
|
|
Object Detection (F16)
|
99% |
1060
37.2 IPS |
|
|
Object Detection (I8)
|
53% |
1034
36.3 IPS |
|
|
Face Detection (F32)
|
100% |
1610
18.5 IPS |
|
|
Face Detection (F16)
|
97% |
2025
23.3 IPS |
|
|
Face Detection (I8)
|
76% |
2383
27.4 IPS |
|
|
Text Classification (F32)
|
100% |
470
186.0 IPS |
|
|
Text Classification (F16)
|
98% |
488
193.2 IPS |
|
|
Machine Translation (F32)
|
100% |
436
67.2 IPS |
|
|
Machine Translation (F16)
|
100% |
437
67.4 IPS |
