Samsung Galaxy S22
Geekbench AI Score
254
Single Precision Score
249
Half Precision Score
609
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 03 2025 09:31 AM |
| Views | 4 |
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-S901N |
| 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% |
176
32.8 IPS |
|
|
Image Classification (HP)
|
100% |
186
34.6 IPS |
|
|
Image Classification (Q)
|
99% |
523
97.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
231
3.75 IPS |
|
|
Image Segmentation (HP)
|
100% |
237
3.84 IPS |
|
|
Image Segmentation (Q)
|
98% |
569
9.25 IPS |
|
|
Pose Estimation (SP)
|
100% |
296
0.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
270
0.31 IPS |
|
|
Pose Estimation (Q)
|
98% |
1083
1.27 IPS |
|
|
Object Detection (SP)
|
100% |
150
11.9 IPS |
|
|
Object Detection (HP)
|
100% |
150
11.9 IPS |
|
|
Object Detection (Q)
|
87% |
467
37.4 IPS |
|
|
Face Detection (SP)
|
100% |
415
4.93 IPS |
|
|
Face Detection (HP)
|
100% |
416
4.94 IPS |
|
|
Face Detection (Q)
|
97% |
992
11.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
345
2.66 IPS |
|
|
Depth Estimation (HP)
|
99% |
347
2.67 IPS |
|
|
Depth Estimation (Q)
|
64% |
861
7.81 IPS |
|
|
Style Transfer (SP)
|
100% |
600
0.77 IPS |
|
|
Style Transfer (HP)
|
100% |
493
0.63 IPS |
|
|
Style Transfer (Q)
|
98% |
1250
1.61 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
133
4.92 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
134
4.93 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
510
18.9 IPS |
|
|
Text Classification (SP)
|
100% |
179
239.4 IPS |
|
|
Text Classification (HP)
|
100% |
175
233.1 IPS |
|
|
Text Classification (Q)
|
91% |
321
431.2 IPS |
|
|
Machine Translation (SP)
|
100% |
305
5.25 IPS |
|
|
Machine Translation (HP)
|
100% |
311
5.36 IPS |
|
|
Machine Translation (Q)
|
57% |
270
6.59 IPS |
