Samsung Galaxy S21 Ultra 5G
Geekbench AI Score
329
Single Precision Score
363
Half Precision Score
49
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | March 21 2025 11:59 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm Snapdragon 888 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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 | 13.96 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
300
55.7 IPS |
|
|
Image Classification (HP)
|
100% |
579
107.7 IPS |
|
|
Image Classification (Q)
|
94% |
17
3.21 IPS |
|
|
Image Segmentation (SP)
|
100% |
731
11.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
980
15.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
85
1.38 IPS |
|
|
Pose Estimation (SP)
|
100% |
1930
2.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
6978
8.14 IPS |
|
|
Pose Estimation (Q)
|
98% |
245
0.29 IPS |
|
|
Object Detection (SP)
|
100% |
534
42.4 IPS |
|
|
Object Detection (HP)
|
99% |
901
71.5 IPS |
|
|
Object Detection (Q)
|
2% |
8
193.8 IPS |
|
|
Face Detection (SP)
|
100% |
1476
17.5 IPS |
|
|
Face Detection (HP)
|
100% |
81
0.96 IPS |
|
|
Face Detection (Q)
|
97% |
218
2.60 IPS |
|
|
Depth Estimation (SP)
|
100% |
180
1.38 IPS |
|
|
Depth Estimation (HP)
|
99% |
76
0.58 IPS |
|
|
Depth Estimation (Q)
|
5% |
32
54.5 IPS |
|
|
Style Transfer (SP)
|
100% |
692
0.89 IPS |
|
|
Style Transfer (HP)
|
100% |
137
0.18 IPS |
|
|
Style Transfer (Q)
|
18% |
9
0.52 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
985
36.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3116
115.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
257
9.52 IPS |
|
|
Text Classification (SP)
|
100% |
4
5.96 IPS |
|
|
Text Classification (HP)
|
100% |
50
66.7 IPS |
|
|
Text Classification (Q)
|
93% |
26
35.4 IPS |
|
|
Machine Translation (SP)
|
100% |
91
1.57 IPS |
|
|
Machine Translation (HP)
|
100% |
87
1.49 IPS |
|
|
Machine Translation (Q)
|
57% |
76
1.86 IPS |
