Samsung Galaxy S21+ 5G
Geekbench AI Score
754
Single Precision Score
757
Half Precision Score
1280
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | jay53kpcl |
| Upload Date | June 17 2025 03:48 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Samsung Exynos 2100 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
546
101.6 IPS |
|
|
Image Classification (HP)
|
100% |
534
99.3 IPS |
|
|
Image Classification (Q)
|
100% |
1211
225.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
551
8.93 IPS |
|
|
Image Segmentation (HP)
|
100% |
551
8.93 IPS |
|
|
Image Segmentation (Q)
|
98% |
1362
22.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1912
2.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
1992
2.32 IPS |
|
|
Pose Estimation (Q)
|
84% |
2509
2.98 IPS |
|
|
Object Detection (SP)
|
100% |
291
23.1 IPS |
|
|
Object Detection (HP)
|
100% |
294
23.3 IPS |
|
|
Object Detection (Q)
|
83% |
842
68.0 IPS |
|
|
Face Detection (SP)
|
100% |
955
11.3 IPS |
|
|
Face Detection (HP)
|
100% |
1010
12.0 IPS |
|
|
Face Detection (Q)
|
95% |
2021
24.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1243
9.58 IPS |
|
|
Depth Estimation (HP)
|
99% |
1340
10.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
1891
17.3 IPS |
|
|
Style Transfer (SP)
|
89% |
2407
3.12 IPS |
|
|
Style Transfer (HP)
|
89% |
2429
3.15 IPS |
|
|
Style Transfer (Q)
|
98% |
4641
5.98 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
697
25.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
736
27.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1177
43.6 IPS |
|
|
Text Classification (SP)
|
100% |
310
413.9 IPS |
|
|
Text Classification (HP)
|
100% |
305
407.4 IPS |
|
|
Text Classification (Q)
|
88% |
552
743.8 IPS |
|
|
Machine Translation (SP)
|
100% |
575
9.90 IPS |
|
|
Machine Translation (HP)
|
100% |
489
8.43 IPS |
|
|
Machine Translation (Q)
|
50% |
295
10.5 IPS |
