Samsung Galaxy S21+ 5G
Geekbench AI Score
445
Single Precision Score
581
Half Precision Score
697
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Cho_Seung_Woo |
| Upload Date | February 13 2025 09:14 AM |
| Views | 13 |
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% |
211
39.2 IPS |
|
|
Image Classification (HP)
|
100% |
215
40.0 IPS |
|
|
Image Classification (Q)
|
99% |
615
114.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
464
7.53 IPS |
|
|
Image Segmentation (HP)
|
100% |
621
10.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
629
10.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1676
1.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
6417
7.49 IPS |
|
|
Pose Estimation (Q)
|
98% |
1621
1.90 IPS |
|
|
Object Detection (SP)
|
100% |
206
16.3 IPS |
|
|
Object Detection (HP)
|
100% |
207
16.4 IPS |
|
|
Object Detection (Q)
|
87% |
649
52.1 IPS |
|
|
Face Detection (SP)
|
100% |
501
5.95 IPS |
|
|
Face Detection (HP)
|
100% |
511
6.07 IPS |
|
|
Face Detection (Q)
|
97% |
1210
14.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
440
3.39 IPS |
|
|
Depth Estimation (HP)
|
99% |
440
3.39 IPS |
|
|
Depth Estimation (Q)
|
64% |
1160
10.5 IPS |
|
|
Style Transfer (SP)
|
100% |
931
1.20 IPS |
|
|
Style Transfer (HP)
|
100% |
725
0.93 IPS |
|
|
Style Transfer (Q)
|
98% |
890
1.15 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
654
24.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
967
35.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
943
35.0 IPS |
|
|
Text Classification (SP)
|
100% |
137
182.8 IPS |
|
|
Text Classification (HP)
|
100% |
320
427.0 IPS |
|
|
Text Classification (Q)
|
91% |
137
184.8 IPS |
|
|
Machine Translation (SP)
|
100% |
498
8.58 IPS |
|
|
Machine Translation (HP)
|
100% |
491
8.45 IPS |
|
|
Machine Translation (Q)
|
57% |
413
10.1 IPS |
