Samsung Galaxy S22
Geekbench AI Score
226
Single Precision Score
222
Half Precision Score
536
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | paultissue |
| Upload Date | September 04 2025 12:25 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm Snapdragon 8 Gen 1 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Samsung Galaxy S22 |
| Model ID | samsung SM-S901U |
| 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 | 7.05 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
154
28.6 IPS |
|
|
Image Classification (HP)
|
100% |
155
28.8 IPS |
|
|
Image Classification (Q)
|
99% |
417
77.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
197
3.19 IPS |
|
|
Image Segmentation (HP)
|
100% |
198
3.21 IPS |
|
|
Image Segmentation (Q)
|
98% |
448
7.29 IPS |
|
|
Pose Estimation (SP)
|
100% |
270
0.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
215
0.25 IPS |
|
|
Pose Estimation (Q)
|
98% |
882
1.03 IPS |
|
|
Object Detection (SP)
|
100% |
123
9.72 IPS |
|
|
Object Detection (HP)
|
100% |
123
9.75 IPS |
|
|
Object Detection (Q)
|
87% |
374
30.0 IPS |
|
|
Face Detection (SP)
|
100% |
342
4.07 IPS |
|
|
Face Detection (HP)
|
100% |
345
4.11 IPS |
|
|
Face Detection (Q)
|
97% |
815
9.72 IPS |
|
|
Depth Estimation (SP)
|
100% |
285
2.19 IPS |
|
|
Depth Estimation (HP)
|
99% |
284
2.19 IPS |
|
|
Depth Estimation (Q)
|
64% |
705
6.40 IPS |
|
|
Style Transfer (SP)
|
100% |
506
0.65 IPS |
|
|
Style Transfer (HP)
|
100% |
503
0.65 IPS |
|
|
Style Transfer (Q)
|
98% |
1266
1.63 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
134
4.96 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
133
4.92 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
497
18.4 IPS |
|
|
Text Classification (SP)
|
100% |
176
235.3 IPS |
|
|
Text Classification (HP)
|
100% |
177
235.8 IPS |
|
|
Text Classification (Q)
|
91% |
322
433.2 IPS |
|
|
Machine Translation (SP)
|
100% |
310
5.33 IPS |
|
|
Machine Translation (HP)
|
100% |
309
5.33 IPS |
|
|
Machine Translation (Q)
|
57% |
274
6.69 IPS |
