Samsung Galaxy S21+ 5G
Geekbench AI Score
227
Single Precision Score
302
Half Precision Score
315
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Jkm20 |
| Upload Date | April 11 2025 06:21 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Samsung Exynos 2100 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy S21+ 5G |
| Model ID | samsung SM-G996B |
| 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 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
111
20.7 IPS |
|
|
Image Classification (HP)
|
100% |
113
21.0 IPS |
|
|
Image Classification (Q)
|
99% |
302
56.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
245
3.97 IPS |
|
|
Image Segmentation (HP)
|
100% |
271
4.40 IPS |
|
|
Image Segmentation (Q)
|
98% |
305
4.96 IPS |
|
|
Pose Estimation (SP)
|
100% |
927
1.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
3255
3.80 IPS |
|
|
Pose Estimation (Q)
|
98% |
904
1.06 IPS |
|
|
Object Detection (SP)
|
100% |
106
8.37 IPS |
|
|
Object Detection (HP)
|
100% |
108
8.55 IPS |
|
|
Object Detection (Q)
|
87% |
327
26.2 IPS |
|
|
Face Detection (SP)
|
100% |
277
3.29 IPS |
|
|
Face Detection (HP)
|
100% |
278
3.30 IPS |
|
|
Face Detection (Q)
|
97% |
606
7.23 IPS |
|
|
Depth Estimation (SP)
|
100% |
236
1.82 IPS |
|
|
Depth Estimation (HP)
|
99% |
241
1.85 IPS |
|
|
Depth Estimation (Q)
|
64% |
612
5.55 IPS |
|
|
Style Transfer (SP)
|
100% |
418
0.54 IPS |
|
|
Style Transfer (HP)
|
100% |
421
0.54 IPS |
|
|
Style Transfer (Q)
|
98% |
398
0.51 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
334
12.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
495
18.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
488
18.1 IPS |
|
|
Text Classification (SP)
|
100% |
55
73.1 IPS |
|
|
Text Classification (HP)
|
100% |
160
213.5 IPS |
|
|
Text Classification (Q)
|
91% |
24
32.2 IPS |
|
|
Machine Translation (SP)
|
100% |
271
4.68 IPS |
|
|
Machine Translation (HP)
|
100% |
269
4.64 IPS |
|
|
Machine Translation (Q)
|
57% |
207
5.05 IPS |
