Samsung Galaxy S22
Geekbench AI Score
1480
Single Precision Score
1460
Half Precision Score
2165
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | lopri |
| Upload Date | September 19 2025 04:36 PM |
| Views | 4 |
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-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% |
1104
205.4 IPS |
|
|
Image Classification (HP)
|
100% |
1184
220.1 IPS |
|
|
Image Classification (Q)
|
100% |
1657
308.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1221
19.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1278
20.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1812
29.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2185
2.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
2005
2.34 IPS |
|
|
Pose Estimation (Q)
|
84% |
4335
5.14 IPS |
|
|
Object Detection (SP)
|
98% |
1139
90.7 IPS |
|
|
Object Detection (HP)
|
98% |
1127
89.7 IPS |
|
|
Object Detection (Q)
|
83% |
1641
132.6 IPS |
|
|
Face Detection (SP)
|
100% |
2246
26.7 IPS |
|
|
Face Detection (HP)
|
100% |
2184
25.9 IPS |
|
|
Face Detection (Q)
|
95% |
3657
43.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
2296
17.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2221
17.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
3510
32.1 IPS |
|
|
Style Transfer (SP)
|
89% |
4756
6.17 IPS |
|
|
Style Transfer (HP)
|
89% |
4717
6.12 IPS |
|
|
Style Transfer (Q)
|
98% |
9090
11.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1147
42.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1150
42.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2245
83.2 IPS |
|
|
Text Classification (SP)
|
100% |
480
640.8 IPS |
|
|
Text Classification (HP)
|
99% |
478
638.3 IPS |
|
|
Text Classification (Q)
|
88% |
836
1.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
1115
19.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1024
17.6 IPS |
|
|
Machine Translation (Q)
|
50% |
485
17.2 IPS |
