Samsung Galaxy S21+ 5G
Geekbench AI Score
441
Single Precision Score
574
Half Precision Score
687
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Cho_Seung_Woo |
| Upload Date | February 22 2025 03:21 PM |
| Views | 2 |
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-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 | 7.03 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
207
38.5 IPS |
|
|
Image Classification (HP)
|
100% |
210
39.0 IPS |
|
|
Image Classification (Q)
|
99% |
592
110.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
459
7.43 IPS |
|
|
Image Segmentation (HP)
|
100% |
641
10.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
618
10.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1685
1.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
6347
7.41 IPS |
|
|
Pose Estimation (Q)
|
98% |
1596
1.87 IPS |
|
|
Object Detection (SP)
|
100% |
202
16.0 IPS |
|
|
Object Detection (HP)
|
100% |
204
16.2 IPS |
|
|
Object Detection (Q)
|
87% |
642
51.5 IPS |
|
|
Face Detection (SP)
|
100% |
496
5.89 IPS |
|
|
Face Detection (HP)
|
100% |
503
5.98 IPS |
|
|
Face Detection (Q)
|
97% |
1189
14.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
433
3.33 IPS |
|
|
Depth Estimation (HP)
|
99% |
435
3.35 IPS |
|
|
Depth Estimation (Q)
|
64% |
1136
10.3 IPS |
|
|
Style Transfer (SP)
|
100% |
921
1.18 IPS |
|
|
Style Transfer (HP)
|
100% |
713
0.92 IPS |
|
|
Style Transfer (Q)
|
98% |
896
1.16 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
658
24.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
975
36.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
923
34.2 IPS |
|
|
Text Classification (SP)
|
100% |
139
186.1 IPS |
|
|
Text Classification (HP)
|
100% |
310
413.6 IPS |
|
|
Text Classification (Q)
|
91% |
138
185.5 IPS |
|
|
Machine Translation (SP)
|
100% |
476
8.20 IPS |
|
|
Machine Translation (HP)
|
100% |
475
8.19 IPS |
|
|
Machine Translation (Q)
|
57% |
406
9.92 IPS |
