Samsung Galaxy S21 FE
Geekbench ML Score
432
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | May 09 2024 11:37 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy S21 FE |
| Model ID | samsung SM-G990E |
| Motherboard | exynos2100 |
| Governor | energy_step |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3396 revision 0 |
| Base Frequency | 2.21 GHz |
| Cluster 1 | 4 Cores @ 2.21 GHz |
| Cluster 2 | 3 Cores @ 2.81 GHz |
| Cluster 3 | 1 Core @ 2.91 GHz |
| Memory Information | |
|---|---|
| Size | 7.13 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
170
31.8 IPS |
|
|
Image Classification (F16)
|
100% |
166
31.0 IPS |
|
|
Image Classification (I8)
|
97% |
463
86.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
386
6.45 IPS |
|
|
Image Segmentation (F16)
|
100% |
510
8.52 IPS |
|
|
Image Segmentation (I8)
|
98% |
478
7.98 IPS |
|
|
Pose Estimation (F32)
|
100% |
1532
1.85 IPS |
|
|
Pose Estimation (F16)
|
100% |
6278
7.60 IPS |
|
|
Pose Estimation (I8)
|
100% |
1264
1.53 IPS |
|
|
Object Detection (F32)
|
100% |
170
12.7 IPS |
|
|
Object Detection (F16)
|
100% |
171
12.8 IPS |
|
|
Object Detection (I8)
|
61% |
522
38.9 IPS |
|
|
Face Detection (F32)
|
100% |
415
4.94 IPS |
|
|
Face Detection (F16)
|
100% |
403
4.79 IPS |
|
|
Face Detection (I8)
|
86% |
958
11.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
360
2.79 IPS |
|
|
Depth Estimation (F16)
|
100% |
355
2.76 IPS |
|
|
Depth Estimation (I8)
|
95% |
1123
8.71 IPS |
|
|
Style Transfer (F32)
|
100% |
727
0.96 IPS |
|
|
Style Transfer (F16)
|
100% |
726
0.96 IPS |
|
|
Style Transfer (I8)
|
98% |
618
0.81 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
416
14.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
650
23.2 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
852
30.4 IPS |
|
|
Text Classification (F32)
|
100% |
80
114.3 IPS |
|
|
Text Classification (F16)
|
100% |
85
121.7 IPS |
|
|
Text Classification (I8)
|
92% |
59
85.1 IPS |
|
|
Machine Translation (F32)
|
100% |
420
7.72 IPS |
|
|
Machine Translation (F16)
|
100% |
395
7.28 IPS |
|
|
Machine Translation (I8)
|
64% |
463
8.51 IPS |
