Samsung Galaxy Z Flip3
Geekbench ML Score
607
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | April 22 2024 08:51 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% |
297
55.7 IPS |
|
|
Image Classification (F16)
|
100% |
285
53.3 IPS |
|
|
Image Classification (I8)
|
97% |
651
121.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
384
6.42 IPS |
|
|
Image Segmentation (F16)
|
100% |
385
6.43 IPS |
|
|
Image Segmentation (I8)
|
98% |
500
8.35 IPS |
|
|
Pose Estimation (F32)
|
100% |
686
0.83 IPS |
|
|
Pose Estimation (F16)
|
100% |
679
0.82 IPS |
|
|
Pose Estimation (I8)
|
100% |
2963
3.59 IPS |
|
|
Object Detection (F32)
|
100% |
296
22.1 IPS |
|
|
Object Detection (F16)
|
100% |
294
22.0 IPS |
|
|
Object Detection (I8)
|
61% |
732
54.6 IPS |
|
|
Face Detection (F32)
|
100% |
677
8.06 IPS |
|
|
Face Detection (F16)
|
100% |
652
7.75 IPS |
|
|
Face Detection (I8)
|
86% |
1359
16.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
667
5.17 IPS |
|
|
Depth Estimation (F16)
|
100% |
657
5.09 IPS |
|
|
Depth Estimation (I8)
|
95% |
1356
10.5 IPS |
|
|
Style Transfer (F32)
|
100% |
1236
1.63 IPS |
|
|
Style Transfer (F16)
|
100% |
1253
1.65 IPS |
|
|
Style Transfer (I8)
|
98% |
2390
3.14 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
380
13.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
383
13.7 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1216
43.4 IPS |
|
|
Text Classification (F32)
|
100% |
337
483.8 IPS |
|
|
Text Classification (F16)
|
100% |
348
500.6 IPS |
|
|
Text Classification (I8)
|
92% |
264
378.9 IPS |
|
|
Machine Translation (F32)
|
100% |
716
13.2 IPS |
|
|
Machine Translation (F16)
|
100% |
696
12.8 IPS |
|
|
Machine Translation (I8)
|
64% |
252
4.64 IPS |
