Samsung Galaxy S21 5G
Geekbench AI Score
600
Single Precision Score
978
Half Precision Score
804
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Ryuta006 |
| Upload Date | September 10 2025 06:50 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Samsung Exynos 2100 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
356
66.2 IPS |
|
|
Image Classification (HP)
|
100% |
674
125.4 IPS |
|
|
Image Classification (Q)
|
97% |
627
117.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
663
10.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1162
18.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1121
18.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3127
3.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
5469
6.38 IPS |
|
|
Pose Estimation (Q)
|
95% |
5356
6.28 IPS |
|
|
Object Detection (SP)
|
100% |
270
21.4 IPS |
|
|
Object Detection (HP)
|
99% |
479
38.0 IPS |
|
|
Object Detection (Q)
|
83% |
435
35.1 IPS |
|
|
Face Detection (SP)
|
100% |
1685
20.0 IPS |
|
|
Face Detection (HP)
|
100% |
2071
24.6 IPS |
|
|
Face Detection (Q)
|
96% |
2041
24.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1390
10.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
2249
17.4 IPS |
|
|
Depth Estimation (Q)
|
62% |
1821
17.3 IPS |
|
|
Style Transfer (SP)
|
100% |
4860
6.25 IPS |
|
|
Style Transfer (HP)
|
100% |
9337
12.0 IPS |
|
|
Style Transfer (Q)
|
98% |
9093
11.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
816
30.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1590
58.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1456
53.9 IPS |
|
|
Text Classification (SP)
|
29% |
11
189.2 IPS |
|
|
Text Classification (HP)
|
29% |
16
279.9 IPS |
|
|
Text Classification (Q)
|
29% |
16
270.0 IPS |
|
|
Machine Translation (SP)
|
100% |
299
5.15 IPS |
|
|
Machine Translation (HP)
|
100% |
354
6.09 IPS |
|
|
Machine Translation (Q)
|
43% |
88
5.11 IPS |
