Samsung Galaxy S21 Ultra 5G
Geekbench AI Score
713
Single Precision Score
709
Half Precision Score
1156
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 21 2025 01:48 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 Ultra 5G |
| Model ID | samsung SM-G998U |
| 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 | 10.07 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
478
88.9 IPS |
|
|
Image Classification (HP)
|
100% |
472
87.8 IPS |
|
|
Image Classification (Q)
|
100% |
1362
253.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
530
8.59 IPS |
|
|
Image Segmentation (HP)
|
100% |
529
8.57 IPS |
|
|
Image Segmentation (Q)
|
98% |
1494
24.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1817
2.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
1800
2.10 IPS |
|
|
Pose Estimation (Q)
|
84% |
2457
2.91 IPS |
|
|
Object Detection (SP)
|
100% |
364
28.9 IPS |
|
|
Object Detection (HP)
|
100% |
349
27.7 IPS |
|
|
Object Detection (Q)
|
83% |
1005
81.1 IPS |
|
|
Face Detection (SP)
|
100% |
1200
14.3 IPS |
|
|
Face Detection (HP)
|
100% |
1200
14.3 IPS |
|
|
Face Detection (Q)
|
95% |
2422
28.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1596
12.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1597
12.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
2323
21.3 IPS |
|
|
Style Transfer (SP)
|
89% |
2921
3.79 IPS |
|
|
Style Transfer (HP)
|
89% |
2970
3.86 IPS |
|
|
Style Transfer (Q)
|
98% |
5781
7.45 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
879
32.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
880
32.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
641
23.8 IPS |
|
|
Text Classification (SP)
|
100% |
172
229.0 IPS |
|
|
Text Classification (HP)
|
100% |
170
226.7 IPS |
|
|
Text Classification (Q)
|
88% |
273
367.8 IPS |
|
|
Machine Translation (SP)
|
100% |
241
4.16 IPS |
|
|
Machine Translation (HP)
|
100% |
243
4.19 IPS |
|
|
Machine Translation (Q)
|
50% |
150
5.32 IPS |
