Samsung Galaxy S21 FE
Geekbench AI Score
259
Single Precision Score
367
Half Precision Score
358
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | FrankenStryker |
| Upload Date | March 24 2025 11:06 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
208
38.7 IPS |
|
|
Image Classification (HP)
|
100% |
355
66.0 IPS |
|
|
Image Classification (Q)
|
99% |
340
63.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
298
4.83 IPS |
|
|
Image Segmentation (HP)
|
100% |
476
7.72 IPS |
|
|
Image Segmentation (Q)
|
98% |
468
7.61 IPS |
|
|
Pose Estimation (SP)
|
100% |
133
0.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
166
0.19 IPS |
|
|
Pose Estimation (Q)
|
96% |
165
0.19 IPS |
|
|
Object Detection (SP)
|
100% |
169
13.4 IPS |
|
|
Object Detection (HP)
|
100% |
274
21.8 IPS |
|
|
Object Detection (Q)
|
83% |
269
21.8 IPS |
|
|
Face Detection (SP)
|
100% |
731
8.69 IPS |
|
|
Face Detection (HP)
|
100% |
1089
12.9 IPS |
|
|
Face Detection (Q)
|
97% |
952
11.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
276
2.13 IPS |
|
|
Depth Estimation (HP)
|
99% |
364
2.81 IPS |
|
|
Depth Estimation (Q)
|
62% |
296
2.80 IPS |
|
|
Style Transfer (SP)
|
100% |
588
0.76 IPS |
|
|
Style Transfer (HP)
|
100% |
1016
1.31 IPS |
|
|
Style Transfer (Q)
|
98% |
1011
1.30 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
187
6.91 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
320
11.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
315
11.7 IPS |
|
|
Text Classification (SP)
|
100% |
161
215.5 IPS |
|
|
Text Classification (HP)
|
100% |
161
215.2 IPS |
|
|
Text Classification (Q)
|
91% |
262
352.2 IPS |
|
|
Machine Translation (SP)
|
100% |
281
4.83 IPS |
|
|
Machine Translation (HP)
|
100% |
282
4.86 IPS |
|
|
Machine Translation (Q)
|
57% |
212
5.17 IPS |
