Samsung Galaxy S21+ 5G
Geekbench AI Score
501
Single Precision Score
713
Half Precision Score
696
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | berkctezc |
| Upload Date | February 02 2025 07:33 AM |
| Views | 13 |
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-G996B |
| 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% |
442
82.2 IPS |
|
|
Image Classification (HP)
|
100% |
758
140.9 IPS |
|
|
Image Classification (Q)
|
99% |
547
102.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
560
9.07 IPS |
|
|
Image Segmentation (HP)
|
100% |
942
15.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
947
15.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
277
0.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
352
0.41 IPS |
|
|
Pose Estimation (Q)
|
96% |
349
0.41 IPS |
|
|
Object Detection (SP)
|
100% |
342
27.2 IPS |
|
|
Object Detection (HP)
|
100% |
549
43.6 IPS |
|
|
Object Detection (Q)
|
83% |
539
43.6 IPS |
|
|
Face Detection (SP)
|
100% |
1410
16.8 IPS |
|
|
Face Detection (HP)
|
100% |
2129
25.3 IPS |
|
|
Face Detection (Q)
|
97% |
1949
23.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
578
4.45 IPS |
|
|
Depth Estimation (HP)
|
99% |
754
5.81 IPS |
|
|
Depth Estimation (Q)
|
62% |
611
5.78 IPS |
|
|
Style Transfer (SP)
|
100% |
1233
1.59 IPS |
|
|
Style Transfer (HP)
|
100% |
2129
2.74 IPS |
|
|
Style Transfer (Q)
|
98% |
2134
2.75 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
380
14.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
629
23.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
628
23.3 IPS |
|
|
Text Classification (SP)
|
100% |
263
350.8 IPS |
|
|
Text Classification (HP)
|
100% |
272
363.1 IPS |
|
|
Text Classification (Q)
|
91% |
477
641.7 IPS |
|
|
Machine Translation (SP)
|
100% |
427
7.36 IPS |
|
|
Machine Translation (HP)
|
100% |
423
7.28 IPS |
|
|
Machine Translation (Q)
|
57% |
362
8.85 IPS |
