Samsung Galaxy S21+ 5G
Geekbench AI Score
224
Single Precision Score
304
Half Precision Score
313
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Jkm20 |
| Upload Date | March 22 2025 10:41 AM |
| Views | 18 |
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% |
113
21.0 IPS |
|
|
Image Classification (HP)
|
100% |
110
20.5 IPS |
|
|
Image Classification (Q)
|
99% |
295
54.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
236
3.83 IPS |
|
|
Image Segmentation (HP)
|
100% |
273
4.42 IPS |
|
|
Image Segmentation (Q)
|
98% |
306
4.97 IPS |
|
|
Pose Estimation (SP)
|
100% |
894
1.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
3177
3.71 IPS |
|
|
Pose Estimation (Q)
|
98% |
901
1.05 IPS |
|
|
Object Detection (SP)
|
100% |
110
8.72 IPS |
|
|
Object Detection (HP)
|
100% |
110
8.69 IPS |
|
|
Object Detection (Q)
|
87% |
329
26.4 IPS |
|
|
Face Detection (SP)
|
100% |
280
3.33 IPS |
|
|
Face Detection (HP)
|
100% |
289
3.43 IPS |
|
|
Face Detection (Q)
|
97% |
614
7.33 IPS |
|
|
Depth Estimation (SP)
|
100% |
241
1.86 IPS |
|
|
Depth Estimation (HP)
|
99% |
250
1.92 IPS |
|
|
Depth Estimation (Q)
|
64% |
598
5.43 IPS |
|
|
Style Transfer (SP)
|
100% |
421
0.54 IPS |
|
|
Style Transfer (HP)
|
100% |
410
0.53 IPS |
|
|
Style Transfer (Q)
|
98% |
399
0.51 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
334
12.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
514
19.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
488
18.1 IPS |
|
|
Text Classification (SP)
|
100% |
48
64.6 IPS |
|
|
Text Classification (HP)
|
100% |
159
212.3 IPS |
|
|
Text Classification (Q)
|
91% |
23
31.2 IPS |
|
|
Machine Translation (SP)
|
100% |
270
4.66 IPS |
|
|
Machine Translation (HP)
|
100% |
267
4.60 IPS |
|
|
Machine Translation (Q)
|
57% |
207
5.07 IPS |
