Samsung Galaxy S21 5G
Geekbench AI Score
380
Single Precision Score
498
Half Precision Score
553
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Ryuta006 |
| Upload Date | September 10 2025 06:38 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
166
30.9 IPS |
|
|
Image Classification (HP)
|
100% |
168
31.2 IPS |
|
|
Image Classification (Q)
|
99% |
441
82.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
425
6.89 IPS |
|
|
Image Segmentation (HP)
|
100% |
554
8.98 IPS |
|
|
Image Segmentation (Q)
|
98% |
462
7.51 IPS |
|
|
Pose Estimation (SP)
|
100% |
1677
1.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
6400
7.47 IPS |
|
|
Pose Estimation (Q)
|
98% |
1317
1.54 IPS |
|
|
Object Detection (SP)
|
100% |
166
13.2 IPS |
|
|
Object Detection (HP)
|
100% |
167
13.3 IPS |
|
|
Object Detection (Q)
|
87% |
494
39.6 IPS |
|
|
Face Detection (SP)
|
100% |
414
4.93 IPS |
|
|
Face Detection (HP)
|
100% |
419
4.97 IPS |
|
|
Face Detection (Q)
|
97% |
912
10.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
371
2.86 IPS |
|
|
Depth Estimation (HP)
|
99% |
372
2.86 IPS |
|
|
Depth Estimation (Q)
|
64% |
926
8.40 IPS |
|
|
Style Transfer (SP)
|
100% |
783
1.01 IPS |
|
|
Style Transfer (HP)
|
100% |
623
0.80 IPS |
|
|
Style Transfer (Q)
|
98% |
808
1.04 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
647
23.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1020
37.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
760
28.2 IPS |
|
|
Text Classification (SP)
|
100% |
102
135.7 IPS |
|
|
Text Classification (HP)
|
100% |
239
319.6 IPS |
|
|
Text Classification (Q)
|
91% |
123
164.7 IPS |
|
|
Machine Translation (SP)
|
100% |
408
7.02 IPS |
|
|
Machine Translation (HP)
|
100% |
406
6.99 IPS |
|
|
Machine Translation (Q)
|
57% |
319
7.79 IPS |
