Samsung Galaxy S21+ 5G
Geekbench AI Score
490
Single Precision Score
695
Half Precision Score
690
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 09 2025 01:37 PM |
| Views | 1 |
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% |
431
80.1 IPS |
|
|
Image Classification (HP)
|
100% |
684
127.3 IPS |
|
|
Image Classification (Q)
|
99% |
551
102.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
578
9.37 IPS |
|
|
Image Segmentation (HP)
|
100% |
938
15.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
934
15.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
276
0.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
351
0.41 IPS |
|
|
Pose Estimation (Q)
|
96% |
350
0.41 IPS |
|
|
Object Detection (SP)
|
100% |
340
26.9 IPS |
|
|
Object Detection (HP)
|
100% |
550
43.6 IPS |
|
|
Object Detection (Q)
|
83% |
533
43.1 IPS |
|
|
Face Detection (SP)
|
100% |
1422
16.9 IPS |
|
|
Face Detection (HP)
|
100% |
2133
25.3 IPS |
|
|
Face Detection (Q)
|
97% |
1950
23.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
577
4.45 IPS |
|
|
Depth Estimation (HP)
|
99% |
760
5.85 IPS |
|
|
Depth Estimation (Q)
|
62% |
614
5.81 IPS |
|
|
Style Transfer (SP)
|
100% |
1236
1.59 IPS |
|
|
Style Transfer (HP)
|
100% |
2130
2.74 IPS |
|
|
Style Transfer (Q)
|
98% |
2125
2.74 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
374
13.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
633
23.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
632
23.4 IPS |
|
|
Text Classification (SP)
|
100% |
225
300.2 IPS |
|
|
Text Classification (HP)
|
100% |
249
332.9 IPS |
|
|
Text Classification (Q)
|
91% |
462
620.4 IPS |
|
|
Machine Translation (SP)
|
100% |
400
6.90 IPS |
|
|
Machine Translation (HP)
|
100% |
395
6.80 IPS |
|
|
Machine Translation (Q)
|
57% |
344
8.41 IPS |
