Samsung Galaxy S22
Geekbench AI Score
241
Single Precision Score
11035
Half Precision Score
27695
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | paultissue |
| Upload Date | September 04 2025 12:40 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
198
36.8 IPS |
|
|
Image Classification (HP)
|
100% |
8490
1.58 KIPS |
|
|
Image Classification (Q)
|
99% |
23822
4.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
247
4.00 IPS |
|
|
Image Segmentation (HP)
|
100% |
6738
109.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
19250
313.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
308
0.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
37044
43.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
222931
261.4 IPS |
|
|
Object Detection (SP)
|
100% |
121
9.63 IPS |
|
|
Object Detection (HP)
|
100% |
7673
608.7 IPS |
|
|
Object Detection (Q)
|
88% |
11676
935.3 IPS |
|
|
Face Detection (SP)
|
100% |
346
4.11 IPS |
|
|
Face Detection (HP)
|
100% |
17639
209.6 IPS |
|
|
Face Detection (Q)
|
97% |
65317
778.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
286
2.20 IPS |
|
|
Depth Estimation (HP)
|
99% |
27862
215.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
61377
565.0 IPS |
|
|
Style Transfer (SP)
|
100% |
513
0.66 IPS |
|
|
Style Transfer (HP)
|
98% |
40204
51.8 IPS |
|
|
Style Transfer (Q)
|
98% |
212432
273.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
135
4.98 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21455
792.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
51748
1.92 KIPS |
|
|
Text Classification (SP)
|
100% |
177
235.6 IPS |
|
|
Text Classification (HP)
|
100% |
1861
2.48 KIPS |
|
|
Text Classification (Q)
|
94% |
4288
5.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
311
5.36 IPS |
|
|
Machine Translation (HP)
|
100% |
2089
36.0 IPS |
|
|
Machine Translation (Q)
|
50% |
1177
40.8 IPS |
