Samsung Galaxy S21+ 5G
Geekbench AI Score
429
Single Precision Score
773
Half Precision Score
882
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | UsayedShahid |
| Upload Date | March 25 2026 03:11 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 888 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
471
87.6 IPS |
|
|
Image Classification (HP)
|
100% |
866
161.0 IPS |
|
|
Image Classification (Q)
|
99% |
1402
261.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
561
9.09 IPS |
|
|
Image Segmentation (HP)
|
100% |
1123
18.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1717
27.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1876
2.19 IPS |
|
|
Pose Estimation (HP)
|
92% |
3995
4.69 IPS |
|
|
Pose Estimation (Q)
|
96% |
3062
3.59 IPS |
|
|
Object Detection (SP)
|
100% |
162
12.8 IPS |
|
|
Object Detection (HP)
|
97% |
318
25.3 IPS |
|
|
Object Detection (Q)
|
85% |
417
33.6 IPS |
|
|
Face Detection (SP)
|
100% |
362
4.30 IPS |
|
|
Face Detection (HP)
|
100% |
703
8.36 IPS |
|
|
Face Detection (Q)
|
97% |
880
10.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
505
3.89 IPS |
|
|
Depth Estimation (HP)
|
98% |
1070
8.27 IPS |
|
|
Depth Estimation (Q)
|
64% |
1044
9.64 IPS |
|
|
Style Transfer (SP)
|
89% |
1129
1.47 IPS |
|
|
Style Transfer (HP)
|
88% |
1506
1.96 IPS |
|
|
Style Transfer (Q)
|
98% |
2511
3.24 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
300
11.1 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
591
22.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
654
24.2 IPS |
|
|
Text Classification (SP)
|
100% |
170
227.1 IPS |
|
|
Text Classification (HP)
|
100% |
264
352.8 IPS |
|
|
Text Classification (Q)
|
93% |
273
366.9 IPS |
|
|
Machine Translation (SP)
|
100% |
250
4.31 IPS |
|
|
Machine Translation (HP)
|
96% |
349
6.03 IPS |
|
|
Machine Translation (Q)
|
55% |
227
6.10 IPS |
