Samsung Galaxy S21 FE
Geekbench AI Score
259
Single Precision Score
367
Half Precision Score
357
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 17 2024 03:03 PM |
| Views | 1 |
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 | 5.17 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
208
38.8 IPS |
|
|
Image Classification (HP)
|
100% |
365
67.9 IPS |
|
|
Image Classification (Q)
|
99% |
332
61.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
291
4.72 IPS |
|
|
Image Segmentation (HP)
|
100% |
479
7.77 IPS |
|
|
Image Segmentation (Q)
|
98% |
467
7.59 IPS |
|
|
Pose Estimation (SP)
|
100% |
133
0.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
166
0.19 IPS |
|
|
Pose Estimation (Q)
|
96% |
166
0.19 IPS |
|
|
Object Detection (SP)
|
100% |
170
13.5 IPS |
|
|
Object Detection (HP)
|
100% |
273
21.7 IPS |
|
|
Object Detection (Q)
|
83% |
266
21.6 IPS |
|
|
Face Detection (SP)
|
100% |
722
8.58 IPS |
|
|
Face Detection (HP)
|
100% |
1069
12.7 IPS |
|
|
Face Detection (Q)
|
97% |
961
11.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
277
2.13 IPS |
|
|
Depth Estimation (HP)
|
99% |
364
2.81 IPS |
|
|
Depth Estimation (Q)
|
62% |
296
2.80 IPS |
|
|
Style Transfer (SP)
|
100% |
589
0.76 IPS |
|
|
Style Transfer (HP)
|
100% |
1017
1.31 IPS |
|
|
Style Transfer (Q)
|
98% |
1012
1.30 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
189
6.96 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
322
11.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
315
11.7 IPS |
|
|
Text Classification (SP)
|
100% |
161
214.4 IPS |
|
|
Text Classification (HP)
|
100% |
161
215.1 IPS |
|
|
Text Classification (Q)
|
91% |
262
352.2 IPS |
|
|
Machine Translation (SP)
|
100% |
281
4.85 IPS |
|
|
Machine Translation (HP)
|
100% |
280
4.82 IPS |
|
|
Machine Translation (Q)
|
57% |
211
5.15 IPS |
