Samsung Galaxy S21+ 5G
Geekbench AI Score
575
Single Precision Score
553
Half Precision Score
794
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 17 2025 07:48 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 888 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Samsung Galaxy S21+ 5G |
| Model ID | samsung SM-G996U1 |
| Motherboard | lahaina |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM SM8350 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3396 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 2.84 GHz |
| Memory Information | |
|---|---|
| Size | 7.19 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
338
62.8 IPS |
|
|
Image Classification (HP)
|
100% |
325
60.4 IPS |
|
|
Image Classification (Q)
|
100% |
884
164.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
431
6.99 IPS |
|
|
Image Segmentation (HP)
|
100% |
435
7.05 IPS |
|
|
Image Segmentation (Q)
|
98% |
326
5.29 IPS |
|
|
Pose Estimation (SP)
|
100% |
1303
1.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
1244
1.45 IPS |
|
|
Pose Estimation (Q)
|
84% |
1694
2.01 IPS |
|
|
Object Detection (SP)
|
100% |
210
16.7 IPS |
|
|
Object Detection (HP)
|
100% |
237
18.8 IPS |
|
|
Object Detection (Q)
|
83% |
523
42.2 IPS |
|
|
Face Detection (SP)
|
100% |
878
10.4 IPS |
|
|
Face Detection (HP)
|
100% |
895
10.6 IPS |
|
|
Face Detection (Q)
|
95% |
1651
19.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1093
8.42 IPS |
|
|
Depth Estimation (HP)
|
99% |
1215
9.36 IPS |
|
|
Depth Estimation (Q)
|
64% |
1462
13.4 IPS |
|
|
Style Transfer (SP)
|
89% |
2125
2.76 IPS |
|
|
Style Transfer (HP)
|
89% |
2156
2.80 IPS |
|
|
Style Transfer (Q)
|
98% |
4037
5.21 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
679
25.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
675
24.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
987
36.6 IPS |
|
|
Text Classification (SP)
|
100% |
283
377.8 IPS |
|
|
Text Classification (HP)
|
100% |
164
219.3 IPS |
|
|
Text Classification (Q)
|
88% |
268
360.9 IPS |
|
|
Machine Translation (SP)
|
100% |
254
4.38 IPS |
|
|
Machine Translation (HP)
|
100% |
251
4.33 IPS |
|
|
Machine Translation (Q)
|
50% |
153
5.45 IPS |
