Samsung Galaxy S21 FE
Geekbench AI Score
268
Single Precision Score
373
Half Precision Score
421
Quantized Score
Geekbench AI 1.0.0 Corporate for Android AArch64
Result Information
| Upload Date | August 11 2024 11:58 AM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Samsung Exynos 2100 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Samsung Galaxy S21 FE |
| Model ID | samsung SM-G990E |
| 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 | 5.17 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
178
33.1 IPS |
|
|
Image Classification (HP)
|
100% |
182
33.8 IPS |
|
|
Image Classification (Q)
|
97% |
502
93.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
290
4.69 IPS |
|
|
Image Segmentation (HP)
|
100% |
338
5.48 IPS |
|
|
Image Segmentation (Q)
|
98% |
423
6.87 IPS |
|
|
Pose Estimation (SP)
|
100% |
946
1.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
3288
3.84 IPS |
|
|
Pose Estimation (Q)
|
98% |
883
1.03 IPS |
|
|
Object Detection (SP)
|
100% |
110
8.71 IPS |
|
|
Object Detection (HP)
|
100% |
110
8.71 IPS |
|
|
Object Detection (Q)
|
89% |
328
26.3 IPS |
|
|
Face Detection (SP)
|
100% |
286
3.40 IPS |
|
|
Face Detection (HP)
|
100% |
288
3.43 IPS |
|
|
Face Detection (Q)
|
97% |
597
7.12 IPS |
|
|
Depth Estimation (SP)
|
100% |
253
1.95 IPS |
|
|
Depth Estimation (HP)
|
100% |
254
1.96 IPS |
|
|
Depth Estimation (Q)
|
73% |
691
5.65 IPS |
|
|
Style Transfer (SP)
|
100% |
459
0.59 IPS |
|
|
Style Transfer (HP)
|
100% |
430
0.55 IPS |
|
|
Style Transfer (Q)
|
98% |
443
0.57 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
326
12.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
887
32.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
897
33.2 IPS |
|
|
Text Classification (SP)
|
100% |
71
95.1 IPS |
|
|
Text Classification (HP)
|
100% |
224
299.2 IPS |
|
|
Text Classification (Q)
|
91% |
60
81.0 IPS |
|
|
Machine Translation (SP)
|
100% |
468
8.06 IPS |
|
|
Machine Translation (HP)
|
100% |
378
6.51 IPS |
|
|
Machine Translation (Q)
|
57% |
291
7.12 IPS |
