Samsung Galaxy S21+ 5G
Geekbench ML Score
1492
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | August 14 2023 11:49 AM |
| Views | 3 |
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 | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1111
119.0 IPS |
|
|
Image Classification (F16)
|
100% |
1991
213.3 IPS |
|
|
Image Classification (I8)
|
80% |
1812
194.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
2458
15.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
4778
29.5 IPS |
|
|
Image Segmentation (I8)
|
89% |
4808
29.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
703
2.84 IPS |
|
|
Pose Estimation (F16)
|
100% |
2539
10.3 IPS |
|
|
Pose Estimation (I8)
|
80% |
2524
10.2 IPS |
|
|
Object Detection (F32)
|
100% |
580
20.3 IPS |
|
|
Object Detection (F16)
|
100% |
759
26.6 IPS |
|
|
Object Detection (I8)
|
54% |
750
26.3 IPS |
|
|
Face Detection (F32)
|
100% |
1891
21.7 IPS |
|
|
Face Detection (F16)
|
97% |
3706
42.6 IPS |
|
|
Face Detection (I8)
|
75% |
3194
36.7 IPS |
|
|
Text Classification (F32)
|
100% |
911
360.2 IPS |
|
|
Text Classification (F16)
|
98% |
1194
472.4 IPS |
|
|
Machine Translation (F32)
|
100% |
497
76.6 IPS |
|
|
Machine Translation (F16)
|
100% |
493
76.0 IPS |
