Samsung Galaxy S21 Ultra 5G
Geekbench AI Score
335
Single Precision Score
399
Half Precision Score
49
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | KenTang |
| Upload Date | October 16 2025 09:38 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm Snapdragon 888 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Samsung Galaxy S21 Ultra 5G |
| Model ID | samsung SM-G998U1 |
| 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% |
537
99.8 IPS |
|
|
Image Classification (HP)
|
100% |
1132
210.4 IPS |
|
|
Image Classification (Q)
|
94% |
17
3.24 IPS |
|
|
Image Segmentation (SP)
|
100% |
949
15.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1550
25.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
84
1.36 IPS |
|
|
Pose Estimation (SP)
|
100% |
2047
2.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
7238
8.45 IPS |
|
|
Pose Estimation (Q)
|
98% |
249
0.29 IPS |
|
|
Object Detection (SP)
|
100% |
559
44.3 IPS |
|
|
Object Detection (HP)
|
99% |
964
76.4 IPS |
|
|
Object Detection (Q)
|
2% |
8
191.7 IPS |
|
|
Face Detection (SP)
|
100% |
1557
18.5 IPS |
|
|
Face Detection (HP)
|
100% |
74
0.88 IPS |
|
|
Face Detection (Q)
|
97% |
198
2.36 IPS |
|
|
Depth Estimation (SP)
|
100% |
171
1.31 IPS |
|
|
Depth Estimation (HP)
|
99% |
66
0.51 IPS |
|
|
Depth Estimation (Q)
|
5% |
33
56.8 IPS |
|
|
Style Transfer (SP)
|
100% |
660
0.85 IPS |
|
|
Style Transfer (HP)
|
100% |
130
0.17 IPS |
|
|
Style Transfer (Q)
|
18% |
9
0.53 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1023
37.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3408
125.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
260
9.62 IPS |
|
|
Text Classification (SP)
|
100% |
2
3.24 IPS |
|
|
Text Classification (HP)
|
100% |
47
63.4 IPS |
|
|
Text Classification (Q)
|
93% |
27
36.2 IPS |
|
|
Machine Translation (SP)
|
100% |
85
1.47 IPS |
|
|
Machine Translation (HP)
|
100% |
84
1.44 IPS |
|
|
Machine Translation (Q)
|
57% |
75
1.84 IPS |
