Samsung Galaxy S21 5G
Geekbench AI Score
729
Single Precision Score
720
Half Precision Score
1323
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | mvodya |
| Upload Date | February 03 2025 03:12 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Samsung Exynos 2100 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| 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% |
321
59.7 IPS |
|
|
Image Classification (HP)
|
100% |
328
61.0 IPS |
|
|
Image Classification (Q)
|
100% |
919
170.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
400
6.48 IPS |
|
|
Image Segmentation (HP)
|
100% |
401
6.50 IPS |
|
|
Image Segmentation (Q)
|
98% |
1111
18.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1661
1.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
1595
1.86 IPS |
|
|
Pose Estimation (Q)
|
84% |
2406
2.85 IPS |
|
|
Object Detection (SP)
|
100% |
304
24.1 IPS |
|
|
Object Detection (HP)
|
100% |
304
24.1 IPS |
|
|
Object Detection (Q)
|
83% |
840
67.8 IPS |
|
|
Face Detection (SP)
|
100% |
1083
12.9 IPS |
|
|
Face Detection (HP)
|
100% |
1081
12.8 IPS |
|
|
Face Detection (Q)
|
95% |
2393
28.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1457
11.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1453
11.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
2145
19.6 IPS |
|
|
Style Transfer (SP)
|
89% |
2688
3.49 IPS |
|
|
Style Transfer (HP)
|
89% |
2702
3.51 IPS |
|
|
Style Transfer (Q)
|
98% |
5331
6.87 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
807
29.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
750
27.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1320
48.9 IPS |
|
|
Text Classification (SP)
|
100% |
356
475.1 IPS |
|
|
Text Classification (HP)
|
100% |
344
459.6 IPS |
|
|
Text Classification (Q)
|
88% |
632
852.7 IPS |
|
|
Machine Translation (SP)
|
100% |
541
9.32 IPS |
|
|
Machine Translation (HP)
|
100% |
538
9.27 IPS |
|
|
Machine Translation (Q)
|
50% |
349
12.4 IPS |
