Samsung Galaxy S21 FE
Geekbench AI Score
454
Single Precision Score
618
Half Precision Score
616
Quantized Score
Geekbench AI 1.0.0 Corporate for Android AArch64
Result Information
| Upload Date | August 11 2024 11:43 AM |
| Views | 16 |
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% |
293
54.5 IPS |
|
|
Image Classification (HP)
|
100% |
354
65.9 IPS |
|
|
Image Classification (Q)
|
97% |
330
61.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
311
5.04 IPS |
|
|
Image Segmentation (HP)
|
100% |
474
7.68 IPS |
|
|
Image Segmentation (Q)
|
98% |
428
6.96 IPS |
|
|
Pose Estimation (SP)
|
100% |
277
0.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
352
0.41 IPS |
|
|
Pose Estimation (Q)
|
96% |
350
0.41 IPS |
|
|
Object Detection (SP)
|
100% |
338
26.8 IPS |
|
|
Object Detection (HP)
|
100% |
541
42.9 IPS |
|
|
Object Detection (Q)
|
92% |
519
41.5 IPS |
|
|
Face Detection (SP)
|
100% |
1390
16.5 IPS |
|
|
Face Detection (HP)
|
100% |
2095
24.9 IPS |
|
|
Face Detection (Q)
|
97% |
1903
22.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
580
4.47 IPS |
|
|
Depth Estimation (HP)
|
99% |
759
5.85 IPS |
|
|
Depth Estimation (Q)
|
72% |
701
5.80 IPS |
|
|
Style Transfer (SP)
|
100% |
1235
1.59 IPS |
|
|
Style Transfer (HP)
|
100% |
2118
2.72 IPS |
|
|
Style Transfer (Q)
|
98% |
2108
2.72 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
373
13.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
624
23.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
614
22.8 IPS |
|
|
Text Classification (SP)
|
100% |
273
365.0 IPS |
|
|
Text Classification (HP)
|
100% |
278
370.5 IPS |
|
|
Text Classification (Q)
|
91% |
483
649.1 IPS |
|
|
Machine Translation (SP)
|
100% |
435
7.49 IPS |
|
|
Machine Translation (HP)
|
100% |
438
7.54 IPS |
|
|
Machine Translation (Q)
|
57% |
373
9.12 IPS |
