Samsung Galaxy S21 FE
Geekbench AI Score
636
Single Precision Score
648
Half Precision Score
1172
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | FrankenStryker |
| Upload Date | March 24 2025 10:42 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Samsung Exynos 2100 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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 | 7.13 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
257
47.9 IPS |
|
|
Image Classification (HP)
|
100% |
290
53.9 IPS |
|
|
Image Classification (Q)
|
100% |
807
150.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
361
5.86 IPS |
|
|
Image Segmentation (HP)
|
100% |
365
5.91 IPS |
|
|
Image Segmentation (Q)
|
98% |
1000
16.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1426
1.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
1437
1.68 IPS |
|
|
Pose Estimation (Q)
|
84% |
2114
2.51 IPS |
|
|
Object Detection (SP)
|
100% |
275
21.8 IPS |
|
|
Object Detection (HP)
|
100% |
275
21.8 IPS |
|
|
Object Detection (Q)
|
83% |
784
63.3 IPS |
|
|
Face Detection (SP)
|
100% |
919
10.9 IPS |
|
|
Face Detection (HP)
|
100% |
1000
11.9 IPS |
|
|
Face Detection (Q)
|
95% |
2019
24.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1238
9.54 IPS |
|
|
Depth Estimation (HP)
|
99% |
1230
9.48 IPS |
|
|
Depth Estimation (Q)
|
64% |
1897
17.4 IPS |
|
|
Style Transfer (SP)
|
89% |
2421
3.14 IPS |
|
|
Style Transfer (HP)
|
89% |
2437
3.16 IPS |
|
|
Style Transfer (Q)
|
98% |
4865
6.27 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
722
26.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
726
26.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1176
43.6 IPS |
|
|
Text Classification (SP)
|
100% |
305
407.3 IPS |
|
|
Text Classification (HP)
|
100% |
301
402.3 IPS |
|
|
Text Classification (Q)
|
88% |
531
716.1 IPS |
|
|
Machine Translation (SP)
|
100% |
491
8.45 IPS |
|
|
Machine Translation (HP)
|
100% |
478
8.23 IPS |
|
|
Machine Translation (Q)
|
50% |
315
11.2 IPS |
