Samsung Galaxy S21 5G
Geekbench ML Score
431
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | January 07 2024 12:22 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy S21 5G |
| Model ID | samsung SM-G991N |
| 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 | 7.03 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
422
45.2 IPS |
|
|
Image Classification (F16)
|
100% |
394
42.2 IPS |
|
|
Image Classification (I8)
|
81% |
171
18.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
629
3.89 IPS |
|
|
Image Segmentation (F16)
|
100% |
641
3.96 IPS |
|
|
Image Segmentation (I8)
|
89% |
785
4.85 IPS |
|
|
Pose Estimation (F32)
|
100% |
293
1.19 IPS |
|
|
Pose Estimation (F16)
|
100% |
274
1.11 IPS |
|
|
Pose Estimation (I8)
|
80% |
181
0.73 IPS |
|
|
Object Detection (F32)
|
100% |
452
15.9 IPS |
|
|
Object Detection (F16)
|
100% |
451
15.8 IPS |
|
|
Object Detection (I8)
|
52% |
271
9.53 IPS |
|
|
Face Detection (F32)
|
100% |
658
7.56 IPS |
|
|
Face Detection (F16)
|
100% |
655
7.53 IPS |
|
|
Face Detection (I8)
|
75% |
577
6.63 IPS |
|
|
Text Classification (F32)
|
100% |
348
137.7 IPS |
|
|
Text Classification (F16)
|
100% |
393
155.3 IPS |
|
|
Machine Translation (F32)
|
100% |
684
105.5 IPS |
|
|
Machine Translation (F16)
|
100% |
685
105.6 IPS |
