Samsung Galaxy S22
Geekbench AI Score
1541
Single Precision Score
1540
Half Precision Score
2269
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 08 2025 01:18 AM |
| Views | 3 |
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-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% |
1155
214.8 IPS |
|
|
Image Classification (HP)
|
100% |
1312
244.1 IPS |
|
|
Image Classification (Q)
|
100% |
1879
349.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1372
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1370
22.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2067
33.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2299
2.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
2239
2.61 IPS |
|
|
Pose Estimation (Q)
|
84% |
4725
5.60 IPS |
|
|
Object Detection (SP)
|
98% |
1225
97.5 IPS |
|
|
Object Detection (HP)
|
98% |
1231
98.0 IPS |
|
|
Object Detection (Q)
|
83% |
1748
141.2 IPS |
|
|
Face Detection (SP)
|
100% |
2390
28.4 IPS |
|
|
Face Detection (HP)
|
100% |
2299
27.3 IPS |
|
|
Face Detection (Q)
|
95% |
3792
45.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
2496
19.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2529
19.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
3759
34.4 IPS |
|
|
Style Transfer (SP)
|
89% |
4841
6.28 IPS |
|
|
Style Transfer (HP)
|
89% |
4659
6.05 IPS |
|
|
Style Transfer (Q)
|
98% |
8726
11.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1106
40.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1107
40.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2181
80.8 IPS |
|
|
Text Classification (SP)
|
100% |
449
599.5 IPS |
|
|
Text Classification (HP)
|
99% |
450
600.3 IPS |
|
|
Text Classification (Q)
|
88% |
798
1.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
1183
20.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1125
19.4 IPS |
|
|
Machine Translation (Q)
|
50% |
522
18.5 IPS |
