samsung SM-F9000
Geekbench ML Score
1155
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for Android AArch64
Result Information
| Upload Date | September 27 2024 03:35 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% |
760
81.4 IPS |
|
|
Image Classification (F16)
|
100% |
1380
147.9 IPS |
|
|
Image Classification (I8)
|
80% |
1269
136.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1986
12.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
3472
21.4 IPS |
|
|
Image Segmentation (I8)
|
89% |
2914
18.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
942
3.81 IPS |
|
|
Pose Estimation (F16)
|
100% |
1670
6.76 IPS |
|
|
Pose Estimation (I8)
|
80% |
1651
6.68 IPS |
|
|
Object Detection (F32)
|
100% |
718
25.2 IPS |
|
|
Object Detection (F16)
|
99% |
1032
36.2 IPS |
|
|
Object Detection (I8)
|
53% |
965
33.9 IPS |
|
|
Face Detection (F32)
|
100% |
1545
17.8 IPS |
|
|
Face Detection (F16)
|
97% |
2506
28.8 IPS |
|
|
Face Detection (I8)
|
76% |
2255
25.9 IPS |
|
|
Text Classification (F32)
|
100% |
428
169.3 IPS |
|
|
Text Classification (F16)
|
98% |
436
172.4 IPS |
|
|
Machine Translation (F32)
|
100% |
439
67.6 IPS |
|
|
Machine Translation (F16)
|
100% |
440
67.8 IPS |
