Samsung Galaxy S21+ 5G
Geekbench ML Score
340
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | August 14 2023 11:47 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Samsung Galaxy S21+ 5G |
| Model ID | samsung SM-G996N |
| 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 | 7.00 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
166
17.8 IPS |
|
|
Image Classification (F16)
|
100% |
436
46.7 IPS |
|
|
Image Classification (I8)
|
81% |
182
19.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
485
3.00 IPS |
|
|
Image Segmentation (F16)
|
100% |
474
2.93 IPS |
|
|
Image Segmentation (I8)
|
89% |
674
4.16 IPS |
|
|
Pose Estimation (F32)
|
100% |
287
1.16 IPS |
|
|
Pose Estimation (F16)
|
100% |
270
1.09 IPS |
|
|
Pose Estimation (I8)
|
80% |
170
0.69 IPS |
|
|
Object Detection (F32)
|
100% |
236
8.29 IPS |
|
|
Object Detection (F16)
|
100% |
254
8.91 IPS |
|
|
Object Detection (I8)
|
52% |
231
8.11 IPS |
|
|
Face Detection (F32)
|
100% |
439
5.04 IPS |
|
|
Face Detection (F16)
|
100% |
678
7.79 IPS |
|
|
Face Detection (I8)
|
75% |
545
6.26 IPS |
|
|
Text Classification (F32)
|
100% |
291
115.3 IPS |
|
|
Text Classification (F16)
|
100% |
290
114.8 IPS |
|
|
Machine Translation (F32)
|
100% |
495
76.2 IPS |
|
|
Machine Translation (F16)
|
100% |
497
76.5 IPS |
