Samsung Galaxy S22
Geekbench AI Score
225
Single Precision Score
221
Half Precision Score
529
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 05 2025 08:46 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Samsung Exynos 2200 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy S22 |
| Model ID | samsung SM-S901B |
| Motherboard | s5e9925 |
| Governor | energy_aware |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 1.82 GHz |
| Cluster 1 | 4 Cores @ 1.82 GHz |
| Cluster 2 | 3 Cores @ 2.52 GHz |
| Cluster 3 | 1 Core @ 2.80 GHz |
| Memory Information | |
|---|---|
| Size | 7.10 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
181
33.6 IPS |
|
|
Image Classification (HP)
|
100% |
177
33.0 IPS |
|
|
Image Classification (Q)
|
99% |
492
91.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
218
3.53 IPS |
|
|
Image Segmentation (HP)
|
100% |
209
3.38 IPS |
|
|
Image Segmentation (Q)
|
98% |
468
7.61 IPS |
|
|
Pose Estimation (SP)
|
100% |
256
0.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
235
0.27 IPS |
|
|
Pose Estimation (Q)
|
98% |
945
1.11 IPS |
|
|
Object Detection (SP)
|
100% |
129
10.2 IPS |
|
|
Object Detection (HP)
|
100% |
128
10.2 IPS |
|
|
Object Detection (Q)
|
87% |
397
31.8 IPS |
|
|
Face Detection (SP)
|
100% |
360
4.28 IPS |
|
|
Face Detection (HP)
|
100% |
362
4.30 IPS |
|
|
Face Detection (Q)
|
97% |
848
10.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
300
2.31 IPS |
|
|
Depth Estimation (HP)
|
99% |
300
2.31 IPS |
|
|
Depth Estimation (Q)
|
64% |
743
6.74 IPS |
|
|
Style Transfer (SP)
|
100% |
525
0.67 IPS |
|
|
Style Transfer (HP)
|
100% |
525
0.68 IPS |
|
|
Style Transfer (Q)
|
98% |
1188
1.53 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
118
4.34 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
117
4.32 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
430
15.9 IPS |
|
|
Text Classification (SP)
|
100% |
146
195.5 IPS |
|
|
Text Classification (HP)
|
100% |
147
195.7 IPS |
|
|
Text Classification (Q)
|
91% |
269
361.9 IPS |
|
|
Machine Translation (SP)
|
100% |
265
4.56 IPS |
|
|
Machine Translation (HP)
|
100% |
264
4.55 IPS |
|
|
Machine Translation (Q)
|
57% |
232
5.67 IPS |
