Upload Date | July 25 2024 11:48 PM |
Views | 1 |
System Information | |
---|---|
Operating System | Android 14 |
Model | Samsung Galaxy Z Fold4 |
Model ID | samsung SM-F936B |
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 | 11.00 GB |
Inference Information | |
---|---|
Framework | TensorFlow Lite |
Backend | NNAPI |
Device | Default |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
200
37.4 IPS |
|
Image Classification (F16)
|
100% |
208
38.8 IPS |
|
Image Classification (I8)
|
97% |
582
109.0 IPS |
|
Image Segmentation (F32)
|
100% |
260
4.34 IPS |
|
Image Segmentation (F16)
|
100% |
258
4.32 IPS |
|
Image Segmentation (I8)
|
98% |
615
10.3 IPS |
|
Pose Estimation (F32)
|
100% |
359
0.43 IPS |
|
Pose Estimation (F16)
|
100% |
367
0.44 IPS |
|
Pose Estimation (I8)
|
100% |
1453
1.76 IPS |
|
Object Detection (F32)
|
100% |
216
16.1 IPS |
|
Object Detection (F16)
|
100% |
215
16.0 IPS |
|
Object Detection (I8)
|
61% |
633
47.3 IPS |
|
Face Detection (F32)
|
100% |
561
6.67 IPS |
|
Face Detection (F16)
|
100% |
557
6.62 IPS |
|
Face Detection (I8)
|
86% |
1391
16.5 IPS |
|
Depth Estimation (F32)
|
100% |
465
3.61 IPS |
|
Depth Estimation (F16)
|
100% |
462
3.59 IPS |
|
Depth Estimation (I8)
|
95% |
1397
10.8 IPS |
|
Style Transfer (F32)
|
100% |
756
0.99 IPS |
|
Style Transfer (F16)
|
100% |
756
0.99 IPS |
|
Style Transfer (I8)
|
98% |
2013
2.65 IPS |
|
Image Super-Resolution (F32)
|
100% |
227
8.10 IPS |
|
Image Super-Resolution (F16)
|
100% |
227
8.12 IPS |
|
Image Super-Resolution (I8)
|
98% |
896
32.0 IPS |
|
Text Classification (F32)
|
100% |
288
414.5 IPS |
|
Text Classification (F16)
|
100% |
288
413.9 IPS |
|
Text Classification (I8)
|
92% |
519
746.1 IPS |
|
Machine Translation (F32)
|
100% |
493
9.07 IPS |
|
Machine Translation (F16)
|
100% |
485
8.93 IPS |
|
Machine Translation (I8)
|
64% |
632
11.6 IPS |