samsung SM-F936U1
Geekbench ML Score
525
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | October 07 2022 01:35 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | samsung SM-F936U1 |
| Model ID | samsung SM-F936U1 |
| Motherboard | taro |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 4 Cores @ 2.02 GHz |
| Cluster 2 | 3 Cores @ 2.75 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 10.99 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
550
59.0 IPS |
|
|
Image Classification (F16)
|
100% |
547
58.6 IPS |
|
|
Image Classification (I8)
|
81% |
186
19.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
799
4.94 IPS |
|
|
Image Segmentation (F16)
|
100% |
796
4.92 IPS |
|
|
Image Segmentation (I8)
|
89% |
992
6.13 IPS |
|
|
Pose Estimation (F32)
|
100% |
319
1.29 IPS |
|
|
Pose Estimation (F16)
|
100% |
312
1.26 IPS |
|
|
Pose Estimation (I8)
|
80% |
281
1.14 IPS |
|
|
Object Detection (F32)
|
100% |
509
17.9 IPS |
|
|
Object Detection (F16)
|
100% |
524
18.4 IPS |
|
|
Object Detection (I8)
|
52% |
294
10.3 IPS |
|
|
Face Detection (F32)
|
100% |
863
9.91 IPS |
|
|
Face Detection (F16)
|
100% |
853
9.79 IPS |
|
|
Face Detection (I8)
|
75% |
565
6.49 IPS |
|
|
Text Classification (F32)
|
100% |
356
140.6 IPS |
|
|
Text Classification (F16)
|
100% |
352
139.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1121
172.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1097
169.1 IPS |
