Samsung Galaxy S22
Geekbench AI Score
380
Single Precision Score
383
Half Precision Score
839
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 22 2024 08:17 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% |
206
38.2 IPS |
|
|
Image Classification (HP)
|
100% |
205
38.1 IPS |
|
|
Image Classification (Q)
|
100% |
761
141.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
262
4.25 IPS |
|
|
Image Segmentation (HP)
|
100% |
247
4.01 IPS |
|
|
Image Segmentation (Q)
|
98% |
747
12.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
947
1.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
802
0.94 IPS |
|
|
Pose Estimation (Q)
|
84% |
1636
1.94 IPS |
|
|
Object Detection (SP)
|
98% |
157
12.5 IPS |
|
|
Object Detection (HP)
|
98% |
160
12.8 IPS |
|
|
Object Detection (Q)
|
83% |
578
46.7 IPS |
|
|
Face Detection (SP)
|
100% |
487
5.79 IPS |
|
|
Face Detection (HP)
|
100% |
454
5.40 IPS |
|
|
Face Detection (Q)
|
95% |
1177
14.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
649
5.01 IPS |
|
|
Depth Estimation (HP)
|
99% |
646
4.99 IPS |
|
|
Depth Estimation (Q)
|
64% |
1359
12.4 IPS |
|
|
Style Transfer (SP)
|
89% |
1250
1.62 IPS |
|
|
Style Transfer (HP)
|
89% |
1242
1.61 IPS |
|
|
Style Transfer (Q)
|
98% |
3389
4.37 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
379
14.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
383
14.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
832
30.8 IPS |
|
|
Text Classification (SP)
|
100% |
181
241.7 IPS |
|
|
Text Classification (HP)
|
99% |
180
240.0 IPS |
|
|
Text Classification (Q)
|
88% |
268
361.7 IPS |
|
|
Machine Translation (SP)
|
100% |
295
5.09 IPS |
|
|
Machine Translation (HP)
|
100% |
417
7.18 IPS |
|
|
Machine Translation (Q)
|
50% |
266
9.43 IPS |
