Samsung Galaxy S22
Geekbench AI Score
213
Single Precision Score
213
Half Precision Score
518
Quantized Score
Geekbench AI 1.0.0 Corporate for Android AArch64
Result Information
| Upload Date | August 11 2024 05:54 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm Snapdragon 8 Gen 1 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy S22 |
| Model ID | samsung SM-S901W |
| 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 | 7.06 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
125
23.2 IPS |
|
|
Image Classification (HP)
|
100% |
124
23.0 IPS |
|
|
Image Classification (Q)
|
97% |
343
64.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
159
2.57 IPS |
|
|
Image Segmentation (HP)
|
100% |
159
2.58 IPS |
|
|
Image Segmentation (Q)
|
98% |
365
5.93 IPS |
|
|
Pose Estimation (SP)
|
100% |
220
0.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
218
0.25 IPS |
|
|
Pose Estimation (Q)
|
98% |
866
1.01 IPS |
|
|
Object Detection (SP)
|
100% |
124
9.80 IPS |
|
|
Object Detection (HP)
|
100% |
123
9.72 IPS |
|
|
Object Detection (Q)
|
89% |
370
29.6 IPS |
|
|
Face Detection (SP)
|
100% |
342
4.06 IPS |
|
|
Face Detection (HP)
|
100% |
345
4.10 IPS |
|
|
Face Detection (Q)
|
97% |
815
9.72 IPS |
|
|
Depth Estimation (SP)
|
100% |
284
2.19 IPS |
|
|
Depth Estimation (HP)
|
100% |
285
2.19 IPS |
|
|
Depth Estimation (Q)
|
73% |
779
6.37 IPS |
|
|
Style Transfer (SP)
|
100% |
504
0.65 IPS |
|
|
Style Transfer (HP)
|
100% |
507
0.65 IPS |
|
|
Style Transfer (Q)
|
98% |
1265
1.63 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
134
4.96 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
134
4.95 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
498
18.5 IPS |
|
|
Text Classification (SP)
|
100% |
177
235.6 IPS |
|
|
Text Classification (HP)
|
100% |
176
235.3 IPS |
|
|
Text Classification (Q)
|
91% |
321
432.1 IPS |
|
|
Machine Translation (SP)
|
100% |
309
5.33 IPS |
|
|
Machine Translation (HP)
|
100% |
310
5.34 IPS |
|
|
Machine Translation (Q)
|
57% |
272
6.66 IPS |
