samsung SM-F9000
Geekbench ML Score
514
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | November 15 2024 12:31 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | samsung SM-F9000 |
| Model ID | samsung SM-F9000 |
| Motherboard | |
| CPU Information | |
|---|---|
| Name | placeholder |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 78 architecture 8 variant 2 part 0 revision 1 |
| Base Frequency | 0 MHz |
| Cluster 1 | 8 Cores @ 0.00 Hz |
| Memory Information | |
|---|---|
| Size | 7.77 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
485
52.0 IPS |
|
|
Image Classification (F16)
|
100% |
536
57.5 IPS |
|
|
Image Classification (I8)
|
81% |
263
28.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
336
2.08 IPS |
|
|
Image Segmentation (F16)
|
100% |
333
2.06 IPS |
|
|
Image Segmentation (I8)
|
89% |
340
2.10 IPS |
|
|
Pose Estimation (F32)
|
100% |
456
1.85 IPS |
|
|
Pose Estimation (F16)
|
100% |
451
1.83 IPS |
|
|
Pose Estimation (I8)
|
80% |
340
1.38 IPS |
|
|
Object Detection (F32)
|
100% |
585
20.5 IPS |
|
|
Object Detection (F16)
|
100% |
621
21.8 IPS |
|
|
Object Detection (I8)
|
52% |
475
16.7 IPS |
|
|
Face Detection (F32)
|
100% |
875
10.1 IPS |
|
|
Face Detection (F16)
|
100% |
878
10.1 IPS |
|
|
Face Detection (I8)
|
75% |
500
5.75 IPS |
|
|
Text Classification (F32)
|
100% |
545
215.7 IPS |
|
|
Text Classification (F16)
|
100% |
521
205.9 IPS |
|
|
Machine Translation (F32)
|
100% |
979
150.8 IPS |
|
|
Machine Translation (F16)
|
100% |
980
151.0 IPS |
