Samsung Galaxy S22
Geekbench AI Score
1685
Single Precision Score
1658
Half Precision Score
2498
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | July 02 2025 12:04 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 1 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Samsung Galaxy S22 |
| Model ID | samsung SM-S901E |
| 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% |
1439
267.7 IPS |
|
|
Image Classification (HP)
|
100% |
1340
249.2 IPS |
|
|
Image Classification (Q)
|
100% |
2133
396.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1415
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1385
22.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2022
32.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2404
2.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
2332
2.72 IPS |
|
|
Pose Estimation (Q)
|
84% |
4968
5.89 IPS |
|
|
Object Detection (SP)
|
98% |
1250
99.5 IPS |
|
|
Object Detection (HP)
|
98% |
1261
100.3 IPS |
|
|
Object Detection (Q)
|
83% |
1676
135.4 IPS |
|
|
Face Detection (SP)
|
100% |
2300
27.3 IPS |
|
|
Face Detection (HP)
|
100% |
2353
28.0 IPS |
|
|
Face Detection (Q)
|
95% |
4061
48.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
2591
20.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2613
20.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
4120
37.7 IPS |
|
|
Style Transfer (SP)
|
89% |
5527
7.18 IPS |
|
|
Style Transfer (HP)
|
89% |
5389
7.00 IPS |
|
|
Style Transfer (Q)
|
98% |
10480
13.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1305
48.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1303
48.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2622
97.2 IPS |
|
|
Text Classification (SP)
|
100% |
565
754.5 IPS |
|
|
Text Classification (HP)
|
99% |
567
756.7 IPS |
|
|
Text Classification (Q)
|
88% |
1020
1.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
1242
21.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1178
20.3 IPS |
|
|
Machine Translation (Q)
|
50% |
564
20.0 IPS |
