Samsung Galaxy S22+
Geekbench AI Score
1530
Single Precision Score
1507
Half Precision Score
2340
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | kyhwana2 |
| Upload Date | July 17 2025 08:21 AM |
| Views | 5 |
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-S906E |
| 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% |
1218
226.5 IPS |
|
|
Image Classification (HP)
|
100% |
1102
204.9 IPS |
|
|
Image Classification (Q)
|
100% |
1829
340.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1243
20.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1220
19.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2013
32.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2209
2.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
2216
2.59 IPS |
|
|
Pose Estimation (Q)
|
84% |
4608
5.47 IPS |
|
|
Object Detection (SP)
|
98% |
1157
92.1 IPS |
|
|
Object Detection (HP)
|
98% |
1157
92.1 IPS |
|
|
Object Detection (Q)
|
83% |
1636
132.1 IPS |
|
|
Face Detection (SP)
|
100% |
2267
26.9 IPS |
|
|
Face Detection (HP)
|
100% |
2151
25.6 IPS |
|
|
Face Detection (Q)
|
95% |
3580
42.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
2386
18.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2404
18.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
3822
35.0 IPS |
|
|
Style Transfer (SP)
|
89% |
4999
6.49 IPS |
|
|
Style Transfer (HP)
|
89% |
5095
6.61 IPS |
|
|
Style Transfer (Q)
|
98% |
10009
12.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1153
42.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1175
43.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2420
89.7 IPS |
|
|
Text Classification (SP)
|
100% |
534
712.4 IPS |
|
|
Text Classification (HP)
|
99% |
532
710.4 IPS |
|
|
Text Classification (Q)
|
88% |
993
1.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
1093
18.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1070
18.4 IPS |
|
|
Machine Translation (Q)
|
50% |
540
19.2 IPS |
