Samsung Galaxy S21 FE
Geekbench AI Score
454
Single Precision Score
619
Half Precision Score
620
Quantized Score
Geekbench AI 1.0.0 Corporate for Android AArch64
Result Information
| Upload Date | August 11 2024 08:45 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
287
53.4 IPS |
|
|
Image Classification (HP)
|
100% |
349
65.0 IPS |
|
|
Image Classification (Q)
|
97% |
329
61.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
315
5.10 IPS |
|
|
Image Segmentation (HP)
|
100% |
474
7.68 IPS |
|
|
Image Segmentation (Q)
|
98% |
437
7.11 IPS |
|
|
Pose Estimation (SP)
|
100% |
277
0.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
353
0.41 IPS |
|
|
Pose Estimation (Q)
|
96% |
350
0.41 IPS |
|
|
Object Detection (SP)
|
100% |
341
27.0 IPS |
|
|
Object Detection (HP)
|
100% |
541
42.9 IPS |
|
|
Object Detection (Q)
|
92% |
521
41.6 IPS |
|
|
Face Detection (SP)
|
100% |
1377
16.4 IPS |
|
|
Face Detection (HP)
|
100% |
2124
25.2 IPS |
|
|
Face Detection (Q)
|
97% |
1928
23.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
582
4.48 IPS |
|
|
Depth Estimation (HP)
|
99% |
757
5.83 IPS |
|
|
Depth Estimation (Q)
|
72% |
699
5.79 IPS |
|
|
Style Transfer (SP)
|
100% |
1237
1.59 IPS |
|
|
Style Transfer (HP)
|
100% |
2119
2.72 IPS |
|
|
Style Transfer (Q)
|
98% |
2108
2.72 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
375
13.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
631
23.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
623
23.1 IPS |
|
|
Text Classification (SP)
|
100% |
272
363.2 IPS |
|
|
Text Classification (HP)
|
100% |
280
373.9 IPS |
|
|
Text Classification (Q)
|
91% |
485
652.4 IPS |
|
|
Machine Translation (SP)
|
100% |
440
7.59 IPS |
|
|
Machine Translation (HP)
|
100% |
438
7.55 IPS |
|
|
Machine Translation (Q)
|
57% |
374
9.13 IPS |
