Samsung Galaxy S21 Ultra 5G
Geekbench AI Score
316
Single Precision Score
313
Half Precision Score
620
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | March 31 2025 01:30 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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 | 10.07 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
183
34.0 IPS |
|
|
Image Classification (HP)
|
100% |
182
33.9 IPS |
|
|
Image Classification (Q)
|
100% |
484
90.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
187
3.04 IPS |
|
|
Image Segmentation (HP)
|
100% |
188
3.05 IPS |
|
|
Image Segmentation (Q)
|
98% |
544
8.85 IPS |
|
|
Pose Estimation (SP)
|
100% |
657
0.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
636
0.74 IPS |
|
|
Pose Estimation (Q)
|
84% |
1159
1.37 IPS |
|
|
Object Detection (SP)
|
100% |
172
13.6 IPS |
|
|
Object Detection (HP)
|
100% |
172
13.6 IPS |
|
|
Object Detection (Q)
|
83% |
472
38.1 IPS |
|
|
Face Detection (SP)
|
100% |
375
4.46 IPS |
|
|
Face Detection (HP)
|
100% |
368
4.38 IPS |
|
|
Face Detection (Q)
|
95% |
943
11.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
521
4.02 IPS |
|
|
Depth Estimation (HP)
|
99% |
532
4.10 IPS |
|
|
Depth Estimation (Q)
|
64% |
1035
9.48 IPS |
|
|
Style Transfer (SP)
|
89% |
1155
1.50 IPS |
|
|
Style Transfer (HP)
|
89% |
1109
1.44 IPS |
|
|
Style Transfer (Q)
|
98% |
2412
3.11 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
287
10.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
286
10.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
620
23.0 IPS |
|
|
Text Classification (SP)
|
100% |
166
221.5 IPS |
|
|
Text Classification (HP)
|
100% |
164
219.3 IPS |
|
|
Text Classification (Q)
|
88% |
270
364.2 IPS |
|
|
Machine Translation (SP)
|
100% |
242
4.18 IPS |
|
|
Machine Translation (HP)
|
100% |
239
4.13 IPS |
|
|
Machine Translation (Q)
|
50% |
150
5.31 IPS |
