samsung SM-F946B
Geekbench ML Score
1017
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | January 16 2024 01:55 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-F946B |
| Model ID | samsung SM-F946B |
| 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% |
513
96.0 IPS |
|
|
Image Classification (F16)
|
100% |
495
92.7 IPS |
|
|
Image Classification (I8)
|
97% |
855
159.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
654
10.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
671
11.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
757
12.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
1151
1.39 IPS |
|
|
Pose Estimation (F16)
|
100% |
1176
1.42 IPS |
|
|
Pose Estimation (I8)
|
100% |
4789
5.80 IPS |
|
|
Object Detection (F32)
|
100% |
527
39.3 IPS |
|
|
Object Detection (F16)
|
100% |
541
40.4 IPS |
|
|
Object Detection (I8)
|
61% |
1142
85.2 IPS |
|
|
Face Detection (F32)
|
100% |
1100
13.1 IPS |
|
|
Face Detection (F16)
|
100% |
1118
13.3 IPS |
|
|
Face Detection (I8)
|
86% |
1904
22.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
1124
8.72 IPS |
|
|
Depth Estimation (F16)
|
100% |
1137
8.82 IPS |
|
|
Depth Estimation (I8)
|
95% |
2016
15.6 IPS |
|
|
Style Transfer (F32)
|
100% |
2034
2.68 IPS |
|
|
Style Transfer (F16)
|
100% |
2023
2.66 IPS |
|
|
Style Transfer (I8)
|
98% |
4289
5.64 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
691
24.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
739
26.4 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
2306
82.4 IPS |
|
|
Text Classification (F32)
|
100% |
546
784.6 IPS |
|
|
Text Classification (F16)
|
100% |
618
888.9 IPS |
|
|
Text Classification (I8)
|
92% |
453
651.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1096
20.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1110
20.4 IPS |
|
|
Machine Translation (I8)
|
64% |
474
8.73 IPS |
