Samsung Galaxy S22+
Geekbench AI Score
373
Single Precision Score
375
Half Precision Score
850
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | March 15 2025 07:43 AM |
| Views | 3 |
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-S906U |
| 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% |
194
36.1 IPS |
|
|
Image Classification (HP)
|
100% |
227
42.1 IPS |
|
|
Image Classification (Q)
|
100% |
758
140.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
237
3.84 IPS |
|
|
Image Segmentation (HP)
|
100% |
250
4.06 IPS |
|
|
Image Segmentation (Q)
|
98% |
735
12.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
920
1.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
803
0.94 IPS |
|
|
Pose Estimation (Q)
|
84% |
1678
1.99 IPS |
|
|
Object Detection (SP)
|
98% |
167
13.3 IPS |
|
|
Object Detection (HP)
|
98% |
160
12.7 IPS |
|
|
Object Detection (Q)
|
83% |
593
47.9 IPS |
|
|
Face Detection (SP)
|
100% |
461
5.48 IPS |
|
|
Face Detection (HP)
|
100% |
468
5.56 IPS |
|
|
Face Detection (Q)
|
95% |
1172
14.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
656
5.07 IPS |
|
|
Depth Estimation (HP)
|
99% |
656
5.07 IPS |
|
|
Depth Estimation (Q)
|
64% |
1303
11.9 IPS |
|
|
Style Transfer (SP)
|
89% |
1242
1.61 IPS |
|
|
Style Transfer (HP)
|
89% |
1246
1.62 IPS |
|
|
Style Transfer (Q)
|
98% |
3235
4.17 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
378
14.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
383
14.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
826
30.6 IPS |
|
|
Text Classification (SP)
|
100% |
181
242.0 IPS |
|
|
Text Classification (HP)
|
99% |
180
240.5 IPS |
|
|
Text Classification (Q)
|
88% |
346
467.3 IPS |
|
|
Machine Translation (SP)
|
100% |
292
5.03 IPS |
|
|
Machine Translation (HP)
|
100% |
293
5.05 IPS |
|
|
Machine Translation (Q)
|
50% |
252
8.93 IPS |
