samsung SM-F9000
Geekbench ML Score
1178
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for Android AArch64
Result Information
| Upload Date | September 12 2024 02:01 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% |
766
82.0 IPS |
|
|
Image Classification (F16)
|
100% |
1363
146.1 IPS |
|
|
Image Classification (I8)
|
80% |
1301
139.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1961
12.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
3518
21.7 IPS |
|
|
Image Segmentation (I8)
|
89% |
3373
20.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
942
3.81 IPS |
|
|
Pose Estimation (F16)
|
100% |
1678
6.79 IPS |
|
|
Pose Estimation (I8)
|
80% |
1659
6.71 IPS |
|
|
Object Detection (F32)
|
100% |
731
25.7 IPS |
|
|
Object Detection (F16)
|
99% |
1040
36.5 IPS |
|
|
Object Detection (I8)
|
53% |
985
34.6 IPS |
|
|
Face Detection (F32)
|
100% |
1615
18.6 IPS |
|
|
Face Detection (F16)
|
97% |
2716
31.2 IPS |
|
|
Face Detection (I8)
|
76% |
1872
21.5 IPS |
|
|
Text Classification (F32)
|
100% |
480
190.0 IPS |
|
|
Text Classification (F16)
|
98% |
489
193.3 IPS |
|
|
Machine Translation (F32)
|
100% |
439
67.6 IPS |
|
|
Machine Translation (F16)
|
100% |
434
66.9 IPS |
