samsung SM-F9000
Geekbench ML Score
325
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for Android AArch64
Result Information
| Upload Date | September 11 2024 01:08 AM |
| Views | 3 |
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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
213
22.9 IPS |
|
|
Image Classification (F16)
|
100% |
213
22.8 IPS |
|
|
Image Classification (I8)
|
81% |
153
16.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
424
2.62 IPS |
|
|
Image Segmentation (F16)
|
100% |
439
2.71 IPS |
|
|
Image Segmentation (I8)
|
89% |
718
4.43 IPS |
|
|
Pose Estimation (F32)
|
100% |
242
0.98 IPS |
|
|
Pose Estimation (F16)
|
100% |
233
0.94 IPS |
|
|
Pose Estimation (I8)
|
80% |
211
0.85 IPS |
|
|
Object Detection (F32)
|
100% |
378
13.3 IPS |
|
|
Object Detection (F16)
|
100% |
369
12.9 IPS |
|
|
Object Detection (I8)
|
52% |
268
9.42 IPS |
|
|
Face Detection (F32)
|
100% |
439
5.04 IPS |
|
|
Face Detection (F16)
|
100% |
455
5.23 IPS |
|
|
Face Detection (I8)
|
75% |
448
5.15 IPS |
|
|
Text Classification (F32)
|
100% |
296
116.9 IPS |
|
|
Text Classification (F16)
|
100% |
267
105.8 IPS |
|
|
Machine Translation (F32)
|
100% |
438
67.5 IPS |
|
|
Machine Translation (F16)
|
100% |
437
67.4 IPS |
