Samsung Galaxy S21 FE
Geekbench AI Score
473
Single Precision Score
658
Half Precision Score
662
Quantized Score
Geekbench AI 1.0.0 Corporate for Android AArch64
Result Information
| Upload Date | August 11 2024 05:36 PM |
| Views | 14 |
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% |
251
46.6 IPS |
|
|
Image Classification (HP)
|
100% |
356
66.3 IPS |
|
|
Image Classification (Q)
|
97% |
338
63.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
542
8.79 IPS |
|
|
Image Segmentation (HP)
|
100% |
861
14.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
826
13.4 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% |
338
26.8 IPS |
|
|
Object Detection (HP)
|
100% |
546
43.3 IPS |
|
|
Object Detection (Q)
|
92% |
522
41.6 IPS |
|
|
Face Detection (SP)
|
100% |
1381
16.4 IPS |
|
|
Face Detection (HP)
|
100% |
2096
24.9 IPS |
|
|
Face Detection (Q)
|
97% |
1904
22.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
583
4.49 IPS |
|
|
Depth Estimation (HP)
|
99% |
768
5.92 IPS |
|
|
Depth Estimation (Q)
|
72% |
698
5.78 IPS |
|
|
Style Transfer (SP)
|
100% |
1232
1.58 IPS |
|
|
Style Transfer (HP)
|
100% |
2117
2.72 IPS |
|
|
Style Transfer (Q)
|
98% |
2118
2.73 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
375
13.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
624
23.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
624
23.1 IPS |
|
|
Text Classification (SP)
|
100% |
273
364.4 IPS |
|
|
Text Classification (HP)
|
100% |
278
371.7 IPS |
|
|
Text Classification (Q)
|
91% |
488
655.8 IPS |
|
|
Machine Translation (SP)
|
100% |
442
7.61 IPS |
|
|
Machine Translation (HP)
|
100% |
437
7.53 IPS |
|
|
Machine Translation (Q)
|
57% |
373
9.11 IPS |
