Samsung Galaxy S21+ 5G
Geekbench AI Score
431
Single Precision Score
558
Half Precision Score
667
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Cho_Seung_Woo |
| Upload Date | May 03 2025 04:34 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Samsung Exynos 2100 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
204
37.9 IPS |
|
|
Image Classification (HP)
|
100% |
202
37.6 IPS |
|
|
Image Classification (Q)
|
99% |
582
108.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
463
7.50 IPS |
|
|
Image Segmentation (HP)
|
100% |
641
10.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
600
9.76 IPS |
|
|
Pose Estimation (SP)
|
100% |
1629
1.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
6348
7.41 IPS |
|
|
Pose Estimation (Q)
|
98% |
1537
1.80 IPS |
|
|
Object Detection (SP)
|
100% |
189
15.0 IPS |
|
|
Object Detection (HP)
|
100% |
194
15.4 IPS |
|
|
Object Detection (Q)
|
87% |
617
49.5 IPS |
|
|
Face Detection (SP)
|
100% |
469
5.57 IPS |
|
|
Face Detection (HP)
|
100% |
475
5.65 IPS |
|
|
Face Detection (Q)
|
97% |
1154
13.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
409
3.15 IPS |
|
|
Depth Estimation (HP)
|
99% |
413
3.18 IPS |
|
|
Depth Estimation (Q)
|
64% |
1118
10.1 IPS |
|
|
Style Transfer (SP)
|
100% |
884
1.14 IPS |
|
|
Style Transfer (HP)
|
100% |
681
0.88 IPS |
|
|
Style Transfer (Q)
|
98% |
901
1.16 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
671
24.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1034
38.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
865
32.1 IPS |
|
|
Text Classification (SP)
|
100% |
150
200.9 IPS |
|
|
Text Classification (HP)
|
100% |
298
397.2 IPS |
|
|
Text Classification (Q)
|
91% |
138
185.6 IPS |
|
|
Machine Translation (SP)
|
100% |
448
7.71 IPS |
|
|
Machine Translation (HP)
|
100% |
451
7.77 IPS |
|
|
Machine Translation (Q)
|
57% |
382
9.32 IPS |
