Samsung Galaxy S21+ 5G
Geekbench AI Score
310
Single Precision Score
588
Half Precision Score
666
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | UsayedShahid |
| Upload Date | March 25 2026 06:36 PM |
| Views | 8 |
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% |
199
37.0 IPS |
|
|
Image Classification (HP)
|
100% |
511
94.9 IPS |
|
|
Image Classification (Q)
|
99% |
759
141.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
176
2.85 IPS |
|
|
Image Segmentation (HP)
|
100% |
372
6.04 IPS |
|
|
Image Segmentation (Q)
|
98% |
496
8.07 IPS |
|
|
Pose Estimation (SP)
|
100% |
606
0.71 IPS |
|
|
Pose Estimation (HP)
|
92% |
1322
1.55 IPS |
|
|
Pose Estimation (Q)
|
96% |
1221
1.43 IPS |
|
|
Object Detection (SP)
|
100% |
162
12.9 IPS |
|
|
Object Detection (HP)
|
97% |
317
25.3 IPS |
|
|
Object Detection (Q)
|
85% |
417
33.6 IPS |
|
|
Face Detection (SP)
|
100% |
356
4.23 IPS |
|
|
Face Detection (HP)
|
100% |
701
8.32 IPS |
|
|
Face Detection (Q)
|
97% |
874
10.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
520
4.00 IPS |
|
|
Depth Estimation (HP)
|
98% |
1069
8.26 IPS |
|
|
Depth Estimation (Q)
|
64% |
1042
9.61 IPS |
|
|
Style Transfer (SP)
|
89% |
1114
1.45 IPS |
|
|
Style Transfer (HP)
|
88% |
1485
1.93 IPS |
|
|
Style Transfer (Q)
|
98% |
2542
3.28 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
294
10.9 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
613
22.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
630
23.3 IPS |
|
|
Text Classification (SP)
|
100% |
162
216.3 IPS |
|
|
Text Classification (HP)
|
100% |
262
349.6 IPS |
|
|
Text Classification (Q)
|
93% |
272
364.6 IPS |
|
|
Machine Translation (SP)
|
100% |
248
4.27 IPS |
|
|
Machine Translation (HP)
|
96% |
350
6.05 IPS |
|
|
Machine Translation (Q)
|
55% |
226
6.08 IPS |
