Samsung Galaxy S21 5G
Geekbench ML Score
637
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | May 26 2024 05:28 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy S21 5G |
| Model ID | samsung SM-G991W |
| 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 | 7.19 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
304
56.9 IPS |
|
|
Image Classification (F16)
|
100% |
302
56.6 IPS |
|
|
Image Classification (I8)
|
97% |
718
134.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
388
6.48 IPS |
|
|
Image Segmentation (F16)
|
100% |
384
6.42 IPS |
|
|
Image Segmentation (I8)
|
98% |
562
9.38 IPS |
|
|
Pose Estimation (F32)
|
100% |
671
0.81 IPS |
|
|
Pose Estimation (F16)
|
100% |
646
0.78 IPS |
|
|
Pose Estimation (I8)
|
100% |
1827
2.21 IPS |
|
|
Object Detection (F32)
|
100% |
305
22.8 IPS |
|
|
Object Detection (F16)
|
100% |
301
22.5 IPS |
|
|
Object Detection (I8)
|
61% |
840
62.7 IPS |
|
|
Face Detection (F32)
|
100% |
625
7.43 IPS |
|
|
Face Detection (F16)
|
100% |
672
8.00 IPS |
|
|
Face Detection (I8)
|
86% |
1658
19.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
593
4.60 IPS |
|
|
Depth Estimation (F16)
|
100% |
630
4.88 IPS |
|
|
Depth Estimation (I8)
|
95% |
1708
13.2 IPS |
|
|
Style Transfer (F32)
|
100% |
1226
1.61 IPS |
|
|
Style Transfer (F16)
|
100% |
1234
1.62 IPS |
|
|
Style Transfer (I8)
|
98% |
2986
3.93 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
413
14.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
401
14.3 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1401
50.0 IPS |
|
|
Text Classification (F32)
|
100% |
389
559.0 IPS |
|
|
Text Classification (F16)
|
100% |
376
540.9 IPS |
|
|
Text Classification (I8)
|
92% |
321
460.9 IPS |
|
|
Machine Translation (F32)
|
100% |
727
13.4 IPS |
|
|
Machine Translation (F16)
|
100% |
722
13.3 IPS |
|
|
Machine Translation (I8)
|
64% |
345
6.36 IPS |
