Samsung Galaxy S22+
Geekbench AI Score
1496
Single Precision Score
1477
Half Precision Score
2159
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 06 2025 08:41 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 1 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy S22+ |
| Model ID | samsung SM-S906U1 |
| 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 | 7.06 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1094
203.5 IPS |
|
|
Image Classification (HP)
|
100% |
1115
207.4 IPS |
|
|
Image Classification (Q)
|
100% |
1629
303.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1245
20.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1226
19.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1800
29.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2143
2.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
2080
2.43 IPS |
|
|
Pose Estimation (Q)
|
84% |
4546
5.39 IPS |
|
|
Object Detection (SP)
|
98% |
1198
95.4 IPS |
|
|
Object Detection (HP)
|
98% |
1220
97.1 IPS |
|
|
Object Detection (Q)
|
83% |
1660
134.1 IPS |
|
|
Face Detection (SP)
|
100% |
2285
27.1 IPS |
|
|
Face Detection (HP)
|
100% |
2308
27.4 IPS |
|
|
Face Detection (Q)
|
95% |
3651
43.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
2455
19.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2250
17.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
3841
35.2 IPS |
|
|
Style Transfer (SP)
|
89% |
4981
6.47 IPS |
|
|
Style Transfer (HP)
|
89% |
4856
6.30 IPS |
|
|
Style Transfer (Q)
|
98% |
9195
11.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1101
40.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1101
40.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2166
80.3 IPS |
|
|
Text Classification (SP)
|
100% |
445
594.2 IPS |
|
|
Text Classification (HP)
|
99% |
445
594.4 IPS |
|
|
Text Classification (Q)
|
88% |
702
946.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1175
20.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1154
19.9 IPS |
|
|
Machine Translation (Q)
|
50% |
509
18.1 IPS |
