Samsung Galaxy S22+
Geekbench AI Score
1588
Single Precision Score
1788
Half Precision Score
2519
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | UsayedShahid |
| Upload Date | March 26 2026 03:09 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 1 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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 | 7.05 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1454
270.4 IPS |
|
|
Image Classification (HP)
|
100% |
990
184.1 IPS |
|
|
Image Classification (Q)
|
99% |
1981
369.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1321
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1183
19.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2025
32.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2160
2.52 IPS |
|
|
Pose Estimation (HP)
|
92% |
4187
4.92 IPS |
|
|
Pose Estimation (Q)
|
96% |
4711
5.52 IPS |
|
|
Object Detection (SP)
|
98% |
1144
91.1 IPS |
|
|
Object Detection (HP)
|
97% |
852
67.8 IPS |
|
|
Object Detection (Q)
|
85% |
1746
140.7 IPS |
|
|
Face Detection (SP)
|
100% |
2257
26.8 IPS |
|
|
Face Detection (HP)
|
100% |
2805
33.3 IPS |
|
|
Face Detection (Q)
|
97% |
3898
46.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
2344
18.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
3535
27.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
3912
36.1 IPS |
|
|
Style Transfer (SP)
|
89% |
5219
6.78 IPS |
|
|
Style Transfer (HP)
|
88% |
4877
6.33 IPS |
|
|
Style Transfer (Q)
|
98% |
10012
12.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1239
45.7 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
2078
77.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2565
95.1 IPS |
|
|
Text Classification (SP)
|
100% |
525
700.6 IPS |
|
|
Text Classification (HP)
|
100% |
817
1.09 KIPS |
|
|
Text Classification (Q)
|
93% |
1004
1.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
1203
20.7 IPS |
|
|
Machine Translation (HP)
|
96% |
975
16.9 IPS |
|
|
Machine Translation (Q)
|
55% |
794
21.3 IPS |
