Samsung Galaxy S21 5G
Geekbench AI Score
866
Single Precision Score
861
Half Precision Score
1539
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 18 2025 12:35 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Samsung Exynos 2100 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Samsung Galaxy S21 5G |
| Model ID | samsung SM-G991N |
| 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 | 7.03 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
560
104.2 IPS |
|
|
Image Classification (HP)
|
100% |
570
106.1 IPS |
|
|
Image Classification (Q)
|
100% |
1606
298.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
664
10.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
649
10.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1804
29.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2380
2.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
2323
2.71 IPS |
|
|
Pose Estimation (Q)
|
84% |
2879
3.41 IPS |
|
|
Object Detection (SP)
|
100% |
352
27.9 IPS |
|
|
Object Detection (HP)
|
100% |
330
26.2 IPS |
|
|
Object Detection (Q)
|
83% |
897
72.4 IPS |
|
|
Face Detection (SP)
|
100% |
1105
13.1 IPS |
|
|
Face Detection (HP)
|
100% |
1141
13.6 IPS |
|
|
Face Detection (Q)
|
95% |
2326
27.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1446
11.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1517
11.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
2189
20.0 IPS |
|
|
Style Transfer (SP)
|
89% |
2729
3.54 IPS |
|
|
Style Transfer (HP)
|
89% |
2745
3.56 IPS |
|
|
Style Transfer (Q)
|
98% |
5416
6.98 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
844
31.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
843
31.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1573
58.3 IPS |
|
|
Text Classification (SP)
|
100% |
379
505.9 IPS |
|
|
Text Classification (HP)
|
100% |
354
472.0 IPS |
|
|
Text Classification (Q)
|
88% |
638
860.7 IPS |
|
|
Machine Translation (SP)
|
100% |
546
9.40 IPS |
|
|
Machine Translation (HP)
|
100% |
561
9.67 IPS |
|
|
Machine Translation (Q)
|
50% |
362
12.9 IPS |
