Samsung Galaxy S21 5G
Geekbench AI Score
639
Single Precision Score
1094
Half Precision Score
830
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 23 2025 11:51 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Samsung Exynos 2100 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy S21 5G |
| Model ID | samsung SM-G991B |
| 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% |
336
62.5 IPS |
|
|
Image Classification (HP)
|
100% |
708
131.7 IPS |
|
|
Image Classification (Q)
|
97% |
621
115.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
700
11.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1335
21.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1230
20.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3083
3.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
5605
6.54 IPS |
|
|
Pose Estimation (Q)
|
95% |
5508
6.46 IPS |
|
|
Object Detection (SP)
|
100% |
280
22.2 IPS |
|
|
Object Detection (HP)
|
99% |
480
38.1 IPS |
|
|
Object Detection (Q)
|
83% |
450
36.4 IPS |
|
|
Face Detection (SP)
|
100% |
1427
17.0 IPS |
|
|
Face Detection (HP)
|
100% |
2376
28.2 IPS |
|
|
Face Detection (Q)
|
96% |
2007
23.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1461
11.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
2388
18.5 IPS |
|
|
Depth Estimation (Q)
|
62% |
1906
18.1 IPS |
|
|
Style Transfer (SP)
|
100% |
4926
6.33 IPS |
|
|
Style Transfer (HP)
|
100% |
10067
12.9 IPS |
|
|
Style Transfer (Q)
|
98% |
9872
12.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
949
35.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1745
64.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1695
62.8 IPS |
|
|
Text Classification (SP)
|
35% |
20
184.5 IPS |
|
|
Text Classification (HP)
|
35% |
28
255.9 IPS |
|
|
Text Classification (Q)
|
29% |
15
252.3 IPS |
|
|
Machine Translation (SP)
|
100% |
288
4.96 IPS |
|
|
Machine Translation (HP)
|
100% |
347
5.98 IPS |
|
|
Machine Translation (Q)
|
43% |
86
5.03 IPS |
