Samsung Galaxy S21 FE
Geekbench AI Score
1069
Single Precision Score
1052
Half Precision Score
1996
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | QueridoAsno |
| Upload Date | August 19 2024 04:26 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
520
96.7 IPS |
|
|
Image Classification (HP)
|
100% |
509
94.7 IPS |
|
|
Image Classification (Q)
|
100% |
1447
269.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
619
10.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
628
10.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1784
29.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2277
2.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
2189
2.55 IPS |
|
|
Pose Estimation (Q)
|
84% |
3466
4.11 IPS |
|
|
Object Detection (SP)
|
100% |
479
38.0 IPS |
|
|
Object Detection (HP)
|
100% |
475
37.7 IPS |
|
|
Object Detection (Q)
|
87% |
1431
114.9 IPS |
|
|
Face Detection (SP)
|
100% |
1474
17.5 IPS |
|
|
Face Detection (HP)
|
100% |
1453
17.3 IPS |
|
|
Face Detection (Q)
|
95% |
3414
40.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1879
14.5 IPS |
|
|
Depth Estimation (HP)
|
100% |
1926
14.8 IPS |
|
|
Depth Estimation (Q)
|
75% |
3627
29.4 IPS |
|
|
Style Transfer (SP)
|
89% |
3890
5.05 IPS |
|
|
Style Transfer (HP)
|
89% |
3819
4.96 IPS |
|
|
Style Transfer (Q)
|
98% |
8073
10.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1119
41.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1102
40.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2028
75.2 IPS |
|
|
Text Classification (SP)
|
100% |
573
765.5 IPS |
|
|
Text Classification (HP)
|
100% |
569
759.8 IPS |
|
|
Text Classification (Q)
|
88% |
928
1.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
810
13.9 IPS |
|
|
Machine Translation (HP)
|
100% |
750
12.9 IPS |
|
|
Machine Translation (Q)
|
50% |
418
14.8 IPS |
