Samsung Galaxy S21 Ultra 5G
Geekbench AI Score
311
Single Precision Score
312
Half Precision Score
611
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 29 2025 01:34 PM |
| Views | 6 |
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-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% |
179
33.4 IPS |
|
|
Image Classification (HP)
|
100% |
174
32.3 IPS |
|
|
Image Classification (Q)
|
100% |
460
85.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
176
2.85 IPS |
|
|
Image Segmentation (HP)
|
100% |
198
3.21 IPS |
|
|
Image Segmentation (Q)
|
98% |
564
9.17 IPS |
|
|
Pose Estimation (SP)
|
100% |
631
0.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
630
0.73 IPS |
|
|
Pose Estimation (Q)
|
84% |
1098
1.30 IPS |
|
|
Object Detection (SP)
|
100% |
175
13.8 IPS |
|
|
Object Detection (HP)
|
100% |
171
13.5 IPS |
|
|
Object Detection (Q)
|
83% |
469
37.9 IPS |
|
|
Face Detection (SP)
|
100% |
363
4.31 IPS |
|
|
Face Detection (HP)
|
100% |
372
4.43 IPS |
|
|
Face Detection (Q)
|
95% |
935
11.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
533
4.11 IPS |
|
|
Depth Estimation (HP)
|
99% |
522
4.02 IPS |
|
|
Depth Estimation (Q)
|
64% |
972
8.90 IPS |
|
|
Style Transfer (SP)
|
89% |
1099
1.43 IPS |
|
|
Style Transfer (HP)
|
89% |
1091
1.42 IPS |
|
|
Style Transfer (Q)
|
98% |
2399
3.09 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
285
10.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
288
10.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
617
22.9 IPS |
|
|
Text Classification (SP)
|
100% |
164
218.6 IPS |
|
|
Text Classification (HP)
|
100% |
163
217.8 IPS |
|
|
Text Classification (Q)
|
88% |
270
363.8 IPS |
|
|
Machine Translation (SP)
|
100% |
251
4.32 IPS |
|
|
Machine Translation (HP)
|
100% |
241
4.15 IPS |
|
|
Machine Translation (Q)
|
50% |
150
5.33 IPS |
