Samsung Galaxy S21 Ultra 5G
Geekbench AI Score
334
Single Precision Score
348
Half Precision Score
346
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 29 2024 03:03 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 888 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
227
42.2 IPS |
|
|
Image Classification (HP)
|
100% |
221
41.0 IPS |
|
|
Image Classification (Q)
|
97% |
209
39.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
223
3.62 IPS |
|
|
Image Segmentation (HP)
|
100% |
259
4.20 IPS |
|
|
Image Segmentation (Q)
|
98% |
253
4.11 IPS |
|
|
Pose Estimation (SP)
|
100% |
597
0.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
356
0.42 IPS |
|
|
Pose Estimation (Q)
|
95% |
346
0.41 IPS |
|
|
Object Detection (SP)
|
100% |
255
20.2 IPS |
|
|
Object Detection (HP)
|
100% |
258
20.5 IPS |
|
|
Object Detection (Q)
|
89% |
226
18.1 IPS |
|
|
Face Detection (SP)
|
100% |
1075
12.8 IPS |
|
|
Face Detection (HP)
|
100% |
1407
16.7 IPS |
|
|
Face Detection (Q)
|
97% |
1155
13.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
885
6.82 IPS |
|
|
Depth Estimation (HP)
|
99% |
870
6.72 IPS |
|
|
Depth Estimation (Q)
|
62% |
766
7.25 IPS |
|
|
Style Transfer (SP)
|
100% |
1787
2.30 IPS |
|
|
Style Transfer (HP)
|
100% |
2300
2.96 IPS |
|
|
Style Transfer (Q)
|
98% |
2290
2.95 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
299
11.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
385
14.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
409
15.1 IPS |
|
|
Text Classification (SP)
|
100% |
51
68.5 IPS |
|
|
Text Classification (HP)
|
100% |
52
69.0 IPS |
|
|
Text Classification (Q)
|
91% |
94
126.2 IPS |
|
|
Machine Translation (SP)
|
100% |
88
1.51 IPS |
|
|
Machine Translation (HP)
|
100% |
88
1.51 IPS |
|
|
Machine Translation (Q)
|
57% |
77
1.87 IPS |
