Samsung Galaxy S22+
Geekbench AI Score
1438
Single Precision Score
2334
Half Precision Score
2142
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | UsayedShahid |
| Upload Date | March 26 2026 03:15 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
1030
191.6 IPS |
|
|
Image Classification (HP)
|
100% |
1597
297.0 IPS |
|
|
Image Classification (Q)
|
99% |
1439
268.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1718
27.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2872
46.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2936
47.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6426
7.50 IPS |
|
|
Pose Estimation (HP)
|
99% |
12177
14.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
11934
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
856
67.9 IPS |
|
|
Object Detection (HP)
|
99% |
1291
102.4 IPS |
|
|
Object Detection (Q)
|
85% |
1237
99.5 IPS |
|
|
Face Detection (SP)
|
100% |
2800
33.3 IPS |
|
|
Face Detection (HP)
|
100% |
5227
62.1 IPS |
|
|
Face Detection (Q)
|
97% |
4433
52.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3270
25.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
5687
44.0 IPS |
|
|
Depth Estimation (Q)
|
65% |
4739
42.6 IPS |
|
|
Style Transfer (SP)
|
100% |
7585
9.75 IPS |
|
|
Style Transfer (HP)
|
100% |
15733
20.2 IPS |
|
|
Style Transfer (Q)
|
98% |
15335
19.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1616
59.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3157
116.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3092
114.6 IPS |
|
|
Text Classification (SP)
|
35% |
50
486.1 IPS |
|
|
Text Classification (HP)
|
35% |
68
614.6 IPS |
|
|
Text Classification (Q)
|
35% |
66
598.3 IPS |
|
|
Machine Translation (SP)
|
100% |
696
12.0 IPS |
|
|
Machine Translation (HP)
|
97% |
663
11.5 IPS |
|
|
Machine Translation (Q)
|
64% |
497
10.2 IPS |
