Samsung Galaxy S21 FE
Geekbench ML Score
572
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | August 18 2024 04:17 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy S21 FE |
| Model ID | samsung SM-G990U |
| 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 | 5.24 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
260
48.7 IPS |
|
|
Image Classification (F16)
|
100% |
254
47.5 IPS |
|
|
Image Classification (I8)
|
97% |
594
111.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
353
5.90 IPS |
|
|
Image Segmentation (F16)
|
100% |
352
5.88 IPS |
|
|
Image Segmentation (I8)
|
98% |
509
8.50 IPS |
|
|
Pose Estimation (F32)
|
100% |
504
0.61 IPS |
|
|
Pose Estimation (F16)
|
100% |
528
0.64 IPS |
|
|
Pose Estimation (I8)
|
100% |
2784
3.37 IPS |
|
|
Object Detection (F32)
|
100% |
276
20.6 IPS |
|
|
Object Detection (F16)
|
100% |
275
20.5 IPS |
|
|
Object Detection (I8)
|
61% |
814
60.7 IPS |
|
|
Face Detection (F32)
|
100% |
615
7.32 IPS |
|
|
Face Detection (F16)
|
100% |
619
7.36 IPS |
|
|
Face Detection (I8)
|
86% |
1339
15.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
569
4.41 IPS |
|
|
Depth Estimation (F16)
|
100% |
592
4.59 IPS |
|
|
Depth Estimation (I8)
|
95% |
1515
11.8 IPS |
|
|
Style Transfer (F32)
|
100% |
1043
1.37 IPS |
|
|
Style Transfer (F16)
|
100% |
982
1.29 IPS |
|
|
Style Transfer (I8)
|
98% |
2726
3.59 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
350
12.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
375
13.4 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1262
45.1 IPS |
|
|
Text Classification (F32)
|
100% |
334
479.7 IPS |
|
|
Text Classification (F16)
|
100% |
325
467.7 IPS |
|
|
Text Classification (I8)
|
92% |
297
426.6 IPS |
|
|
Machine Translation (F32)
|
100% |
626
11.5 IPS |
|
|
Machine Translation (F16)
|
100% |
592
10.9 IPS |
|
|
Machine Translation (I8)
|
64% |
326
6.00 IPS |
