Samsung Galaxy S22 Ultra
Geekbench AI Score
663
Single Precision Score
904
Half Precision Score
941
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | fang1121cs |
| Upload Date | December 20 2024 02:58 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 8 Gen 1 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy S22 Ultra |
| Model ID | samsung SM-S9080 |
| Motherboard | taro |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 1.78 GHz |
| Cluster 1 | 4 Cores @ 1.79 GHz |
| Cluster 2 | 3 Cores @ 2.50 GHz |
| Cluster 3 | 1 Core @ 3.00 GHz |
| Memory Information | |
|---|---|
| Size | 10.94 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
456
84.8 IPS |
|
|
Image Classification (HP)
|
100% |
496
92.2 IPS |
|
|
Image Classification (Q)
|
97% |
424
79.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
960
15.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1274
20.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1177
19.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
691
0.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
1242
1.45 IPS |
|
|
Pose Estimation (Q)
|
95% |
1219
1.43 IPS |
|
|
Object Detection (SP)
|
100% |
380
30.1 IPS |
|
|
Object Detection (HP)
|
100% |
509
40.3 IPS |
|
|
Object Detection (Q)
|
89% |
583
46.7 IPS |
|
|
Face Detection (SP)
|
100% |
1481
17.6 IPS |
|
|
Face Detection (HP)
|
100% |
1532
18.2 IPS |
|
|
Face Detection (Q)
|
97% |
1622
19.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1102
8.49 IPS |
|
|
Depth Estimation (HP)
|
99% |
2260
17.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
1930
18.1 IPS |
|
|
Style Transfer (SP)
|
100% |
2678
3.44 IPS |
|
|
Style Transfer (HP)
|
100% |
5562
7.15 IPS |
|
|
Style Transfer (Q)
|
98% |
5528
7.13 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
368
13.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
504
18.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
514
19.1 IPS |
|
|
Text Classification (SP)
|
100% |
228
304.0 IPS |
|
|
Text Classification (HP)
|
100% |
242
323.4 IPS |
|
|
Text Classification (Q)
|
91% |
479
644.2 IPS |
|
|
Machine Translation (SP)
|
100% |
390
6.72 IPS |
|
|
Machine Translation (HP)
|
100% |
392
6.75 IPS |
|
|
Machine Translation (Q)
|
57% |
362
8.85 IPS |
