Samsung Galaxy S22
Geekbench AI Score
321
Single Precision Score
336
Half Precision Score
716
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 19 2025 06:23 PM |
| 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-S901E |
| 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% |
152
28.4 IPS |
|
|
Image Classification (HP)
|
100% |
153
28.4 IPS |
|
|
Image Classification (Q)
|
100% |
553
102.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
179
2.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
188
3.05 IPS |
|
|
Image Segmentation (Q)
|
98% |
533
8.66 IPS |
|
|
Pose Estimation (SP)
|
100% |
697
0.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
732
0.85 IPS |
|
|
Pose Estimation (Q)
|
84% |
1424
1.69 IPS |
|
|
Object Detection (SP)
|
98% |
156
12.4 IPS |
|
|
Object Detection (HP)
|
98% |
161
12.8 IPS |
|
|
Object Detection (Q)
|
83% |
469
37.9 IPS |
|
|
Face Detection (SP)
|
100% |
420
4.99 IPS |
|
|
Face Detection (HP)
|
100% |
469
5.57 IPS |
|
|
Face Detection (Q)
|
95% |
1136
13.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
629
4.86 IPS |
|
|
Depth Estimation (HP)
|
99% |
610
4.71 IPS |
|
|
Depth Estimation (Q)
|
64% |
1204
11.0 IPS |
|
|
Style Transfer (SP)
|
89% |
1146
1.49 IPS |
|
|
Style Transfer (HP)
|
89% |
1189
1.54 IPS |
|
|
Style Transfer (Q)
|
98% |
3130
4.04 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
378
14.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
378
14.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
821
30.4 IPS |
|
|
Text Classification (SP)
|
100% |
161
214.7 IPS |
|
|
Text Classification (HP)
|
99% |
161
214.5 IPS |
|
|
Text Classification (Q)
|
88% |
258
348.3 IPS |
|
|
Machine Translation (SP)
|
100% |
219
3.77 IPS |
|
|
Machine Translation (HP)
|
100% |
269
4.64 IPS |
|
|
Machine Translation (Q)
|
50% |
200
7.10 IPS |
