samsung SM-F9000
Geekbench ML Score
320
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for Android AArch64
Result Information
| Upload Date | September 12 2024 01:55 PM |
| Views | 2 |
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% |
216
23.2 IPS |
|
|
Image Classification (F16)
|
100% |
209
22.4 IPS |
|
|
Image Classification (I8)
|
81% |
151
16.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
427
2.64 IPS |
|
|
Image Segmentation (F16)
|
100% |
426
2.63 IPS |
|
|
Image Segmentation (I8)
|
89% |
723
4.47 IPS |
|
|
Pose Estimation (F32)
|
100% |
236
0.96 IPS |
|
|
Pose Estimation (F16)
|
100% |
231
0.94 IPS |
|
|
Pose Estimation (I8)
|
80% |
209
0.85 IPS |
|
|
Object Detection (F32)
|
100% |
344
12.1 IPS |
|
|
Object Detection (F16)
|
100% |
323
11.3 IPS |
|
|
Object Detection (I8)
|
52% |
318
11.1 IPS |
|
|
Face Detection (F32)
|
100% |
435
5.00 IPS |
|
|
Face Detection (F16)
|
100% |
427
4.91 IPS |
|
|
Face Detection (I8)
|
75% |
433
4.97 IPS |
|
|
Text Classification (F32)
|
100% |
269
106.3 IPS |
|
|
Text Classification (F16)
|
100% |
271
107.3 IPS |
|
|
Machine Translation (F32)
|
100% |
438
67.5 IPS |
|
|
Machine Translation (F16)
|
100% |
437
67.4 IPS |
