Samsung Galaxy Z Flip3
Geekbench ML Score
636
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | April 22 2024 08:47 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy Z Flip3 |
| Model ID | samsung SM-F711B |
| Motherboard | lahaina |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM SM8350 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3396 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 2.84 GHz |
| Memory Information | |
|---|---|
| Size | 7.22 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
290
54.3 IPS |
|
|
Image Classification (F16)
|
100% |
295
55.3 IPS |
|
|
Image Classification (I8)
|
97% |
740
138.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
392
6.54 IPS |
|
|
Image Segmentation (F16)
|
100% |
383
6.40 IPS |
|
|
Image Segmentation (I8)
|
98% |
548
9.16 IPS |
|
|
Pose Estimation (F32)
|
100% |
630
0.76 IPS |
|
|
Pose Estimation (F16)
|
100% |
683
0.83 IPS |
|
|
Pose Estimation (I8)
|
100% |
3132
3.79 IPS |
|
|
Object Detection (F32)
|
100% |
317
23.7 IPS |
|
|
Object Detection (F16)
|
100% |
328
24.5 IPS |
|
|
Object Detection (I8)
|
61% |
819
61.2 IPS |
|
|
Face Detection (F32)
|
100% |
708
8.42 IPS |
|
|
Face Detection (F16)
|
100% |
690
8.20 IPS |
|
|
Face Detection (I8)
|
86% |
1736
20.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
718
5.57 IPS |
|
|
Depth Estimation (F16)
|
100% |
701
5.44 IPS |
|
|
Depth Estimation (I8)
|
95% |
1461
11.3 IPS |
|
|
Style Transfer (F32)
|
100% |
1340
1.76 IPS |
|
|
Style Transfer (F16)
|
100% |
1265
1.66 IPS |
|
|
Style Transfer (I8)
|
98% |
2329
3.06 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
392
14.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
391
14.0 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1278
45.6 IPS |
|
|
Text Classification (F32)
|
100% |
354
509.2 IPS |
|
|
Text Classification (F16)
|
100% |
321
461.0 IPS |
|
|
Text Classification (I8)
|
92% |
290
417.3 IPS |
|
|
Machine Translation (F32)
|
100% |
722
13.3 IPS |
|
|
Machine Translation (F16)
|
100% |
722
13.3 IPS |
|
|
Machine Translation (I8)
|
64% |
268
4.93 IPS |
