Samsung Galaxy S21 FE
Geekbench AI Score
214
Single Precision Score
291
Half Precision Score
308
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | FrankenStryker |
| Upload Date | March 24 2025 11:24 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
71
13.2 IPS |
|
|
Image Classification (HP)
|
100% |
70
13.1 IPS |
|
|
Image Classification (Q)
|
99% |
184
34.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
192
3.11 IPS |
|
|
Image Segmentation (HP)
|
100% |
239
3.87 IPS |
|
|
Image Segmentation (Q)
|
98% |
189
3.08 IPS |
|
|
Pose Estimation (SP)
|
100% |
884
1.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
3251
3.79 IPS |
|
|
Pose Estimation (Q)
|
98% |
892
1.04 IPS |
|
|
Object Detection (SP)
|
100% |
110
8.76 IPS |
|
|
Object Detection (HP)
|
100% |
111
8.77 IPS |
|
|
Object Detection (Q)
|
87% |
329
26.4 IPS |
|
|
Face Detection (SP)
|
100% |
287
3.42 IPS |
|
|
Face Detection (HP)
|
100% |
291
3.45 IPS |
|
|
Face Detection (Q)
|
97% |
609
7.26 IPS |
|
|
Depth Estimation (SP)
|
100% |
253
1.95 IPS |
|
|
Depth Estimation (HP)
|
99% |
254
1.96 IPS |
|
|
Depth Estimation (Q)
|
64% |
622
5.64 IPS |
|
|
Style Transfer (SP)
|
100% |
453
0.58 IPS |
|
|
Style Transfer (HP)
|
100% |
430
0.55 IPS |
|
|
Style Transfer (Q)
|
98% |
447
0.58 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
339
12.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
507
18.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
488
18.1 IPS |
|
|
Text Classification (SP)
|
100% |
50
66.9 IPS |
|
|
Text Classification (HP)
|
100% |
161
215.2 IPS |
|
|
Text Classification (Q)
|
91% |
43
57.3 IPS |
|
|
Machine Translation (SP)
|
100% |
281
4.85 IPS |
|
|
Machine Translation (HP)
|
100% |
282
4.86 IPS |
|
|
Machine Translation (Q)
|
57% |
212
5.17 IPS |
