samsung SM-F946U1
Geekbench ML Score
999
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | April 26 2024 05:49 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-F946U1 |
| Model ID | samsung SM-F946U1 |
| Motherboard | kalama |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.36 GHz |
| Memory Information | |
|---|---|
| Size | 10.87 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
437
81.8 IPS |
|
|
Image Classification (F16)
|
100% |
441
82.5 IPS |
|
|
Image Classification (I8)
|
97% |
768
143.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
637
10.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
654
10.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
776
13.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
1252
1.52 IPS |
|
|
Pose Estimation (F16)
|
100% |
1203
1.46 IPS |
|
|
Pose Estimation (I8)
|
100% |
4747
5.75 IPS |
|
|
Object Detection (F32)
|
100% |
513
38.3 IPS |
|
|
Object Detection (F16)
|
100% |
531
39.7 IPS |
|
|
Object Detection (I8)
|
61% |
1062
79.3 IPS |
|
|
Face Detection (F32)
|
100% |
1135
13.5 IPS |
|
|
Face Detection (F16)
|
100% |
1129
13.4 IPS |
|
|
Face Detection (I8)
|
86% |
1877
22.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
1147
8.89 IPS |
|
|
Depth Estimation (F16)
|
100% |
1122
8.70 IPS |
|
|
Depth Estimation (I8)
|
95% |
2015
15.6 IPS |
|
|
Style Transfer (F32)
|
100% |
2043
2.69 IPS |
|
|
Style Transfer (F16)
|
100% |
2174
2.86 IPS |
|
|
Style Transfer (I8)
|
98% |
4013
5.28 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
746
26.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
754
26.9 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1984
70.9 IPS |
|
|
Text Classification (F32)
|
100% |
596
856.0 IPS |
|
|
Text Classification (F16)
|
100% |
573
823.3 IPS |
|
|
Text Classification (I8)
|
92% |
405
581.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1193
21.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1143
21.0 IPS |
|
|
Machine Translation (I8)
|
64% |
421
7.75 IPS |
