Samsung Galaxy S22+
Geekbench AI Score
1256
Single Precision Score
1255
Half Precision Score
1750
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | Juancholopez23 |
| Upload Date | September 24 2024 03:26 PM |
| Views | 5 |
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-S906E |
| 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% |
950
176.7 IPS |
|
|
Image Classification (HP)
|
100% |
974
181.2 IPS |
|
|
Image Classification (Q)
|
100% |
1350
251.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1052
17.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1050
17.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1505
24.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1788
2.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
2003
2.34 IPS |
|
|
Pose Estimation (Q)
|
84% |
4165
4.94 IPS |
|
|
Object Detection (SP)
|
98% |
1031
82.1 IPS |
|
|
Object Detection (HP)
|
98% |
1041
82.8 IPS |
|
|
Object Detection (Q)
|
83% |
1392
112.4 IPS |
|
|
Face Detection (SP)
|
100% |
1974
23.5 IPS |
|
|
Face Detection (HP)
|
100% |
1752
20.8 IPS |
|
|
Face Detection (Q)
|
95% |
2560
30.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
1979
15.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1963
15.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
2803
25.7 IPS |
|
|
Style Transfer (SP)
|
89% |
4014
5.21 IPS |
|
|
Style Transfer (HP)
|
89% |
4001
5.19 IPS |
|
|
Style Transfer (Q)
|
98% |
7230
9.32 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
936
34.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
930
34.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1806
66.9 IPS |
|
|
Text Classification (SP)
|
100% |
378
504.0 IPS |
|
|
Text Classification (HP)
|
99% |
375
500.8 IPS |
|
|
Text Classification (Q)
|
88% |
595
803.0 IPS |
|
|
Machine Translation (SP)
|
100% |
963
16.6 IPS |
|
|
Machine Translation (HP)
|
100% |
953
16.4 IPS |
|
|
Machine Translation (Q)
|
50% |
412
14.6 IPS |
