Upload Date | September 02 2024 12:21 AM |
Views | 1 |
System Information | |
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Operating System | Android 14 |
Model | samsung SM-F956U1 |
Model ID | samsung SM-F956U1 |
Motherboard | pineapple |
Governor | walt |
CPU Information | |
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Name | ARM ARMv8 |
Topology | 1 Processor, 8 Cores |
Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
Base Frequency | 2.26 GHz |
Cluster 1 | 2 Cores @ 2.27 GHz |
Cluster 2 | 2 Cores @ 2.96 GHz |
Cluster 3 | 3 Cores @ 3.15 GHz |
Cluster 4 | 1 Core @ 3.40 GHz |
Memory Information | |
---|---|
Size | 10.86 GB |
Inference Information | |
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Framework | TensorFlow Lite |
Backend | GPU |
Device | Default |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
652
121.9 IPS |
|
Image Classification (F16)
|
100% |
511
95.7 IPS |
|
Image Classification (I8)
|
99% |
550
103.0 IPS |
|
Image Segmentation (F32)
|
100% |
808
13.5 IPS |
|
Image Segmentation (F16)
|
100% |
1197
20.0 IPS |
|
Image Segmentation (I8)
|
98% |
1152
19.2 IPS |
|
Pose Estimation (F32)
|
100% |
891
1.08 IPS |
|
Pose Estimation (F16)
|
100% |
1886
2.28 IPS |
|
Pose Estimation (I8)
|
100% |
1961
2.37 IPS |
|
Object Detection (F32)
|
100% |
594
44.3 IPS |
|
Object Detection (F16)
|
100% |
415
31.0 IPS |
|
Object Detection (I8)
|
62% |
413
30.8 IPS |
|
Face Detection (F32)
|
100% |
1778
21.1 IPS |
|
Face Detection (F16)
|
97% |
1743
20.7 IPS |
|
Face Detection (I8)
|
86% |
2145
25.5 IPS |
|
Depth Estimation (F32)
|
100% |
1440
11.2 IPS |
|
Depth Estimation (F16)
|
100% |
3168
24.6 IPS |
|
Depth Estimation (I8)
|
95% |
3154
24.5 IPS |
|
Style Transfer (F32)
|
100% |
5295
6.96 IPS |
|
Style Transfer (F16)
|
100% |
8479
11.2 IPS |
|
Style Transfer (I8)
|
98% |
8416
11.1 IPS |
|
Image Super-Resolution (F32)
|
100% |
429
15.3 IPS |
|
Image Super-Resolution (F16)
|
100% |
1102
39.3 IPS |
|
Image Super-Resolution (I8)
|
98% |
1123
40.1 IPS |
|
Text Classification (F32)
|
100% |
419
602.2 IPS |
|
Text Classification (F16)
|
100% |
418
600.7 IPS |
|
Text Classification (I8)
|
92% |
689
990.6 IPS |
|
Machine Translation (F32)
|
100% |
677
12.5 IPS |
|
Machine Translation (F16)
|
100% |
640
11.8 IPS |
|
Machine Translation (I8)
|
64% |
761
14.0 IPS |