Samsung Galaxy S22
Geekbench AI Score
334
Single Precision Score
341
Half Precision Score
781
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 02 2025 12:19 PM |
| Views | 1 |
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-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% |
171
31.8 IPS |
|
|
Image Classification (HP)
|
100% |
156
29.0 IPS |
|
|
Image Classification (Q)
|
100% |
626
116.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
201
3.26 IPS |
|
|
Image Segmentation (HP)
|
100% |
181
2.94 IPS |
|
|
Image Segmentation (Q)
|
98% |
553
8.99 IPS |
|
|
Pose Estimation (SP)
|
100% |
713
0.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
791
0.92 IPS |
|
|
Pose Estimation (Q)
|
84% |
1607
1.91 IPS |
|
|
Object Detection (SP)
|
98% |
157
12.5 IPS |
|
|
Object Detection (HP)
|
98% |
155
12.4 IPS |
|
|
Object Detection (Q)
|
83% |
589
47.6 IPS |
|
|
Face Detection (SP)
|
100% |
469
5.57 IPS |
|
|
Face Detection (HP)
|
100% |
453
5.38 IPS |
|
|
Face Detection (Q)
|
95% |
1168
13.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
622
4.80 IPS |
|
|
Depth Estimation (HP)
|
99% |
647
5.00 IPS |
|
|
Depth Estimation (Q)
|
64% |
1231
11.3 IPS |
|
|
Style Transfer (SP)
|
89% |
1249
1.62 IPS |
|
|
Style Transfer (HP)
|
89% |
1249
1.62 IPS |
|
|
Style Transfer (Q)
|
98% |
3252
4.19 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
364
13.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
375
13.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
813
30.1 IPS |
|
|
Text Classification (SP)
|
100% |
158
210.2 IPS |
|
|
Text Classification (HP)
|
99% |
156
208.9 IPS |
|
|
Text Classification (Q)
|
88% |
261
351.6 IPS |
|
|
Machine Translation (SP)
|
100% |
217
3.74 IPS |
|
|
Machine Translation (HP)
|
100% |
291
5.01 IPS |
|
|
Machine Translation (Q)
|
50% |
262
9.29 IPS |
