Samsung Galaxy S22+
Geekbench AI Score
213
Single Precision Score
213
Half Precision Score
524
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| Upload Date | August 15 2024 06:34 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm Snapdragon 8 Gen 1 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy S22+ |
| Model ID | samsung SM-S906U |
| 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% |
127
23.6 IPS |
|
|
Image Classification (HP)
|
100% |
123
22.9 IPS |
|
|
Image Classification (Q)
|
97% |
346
64.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
158
2.57 IPS |
|
|
Image Segmentation (HP)
|
100% |
160
2.60 IPS |
|
|
Image Segmentation (Q)
|
98% |
366
5.95 IPS |
|
|
Pose Estimation (SP)
|
100% |
219
0.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
224
0.26 IPS |
|
|
Pose Estimation (Q)
|
98% |
889
1.04 IPS |
|
|
Object Detection (SP)
|
100% |
122
9.65 IPS |
|
|
Object Detection (HP)
|
100% |
123
9.74 IPS |
|
|
Object Detection (Q)
|
89% |
386
30.9 IPS |
|
|
Face Detection (SP)
|
100% |
344
4.09 IPS |
|
|
Face Detection (HP)
|
100% |
342
4.07 IPS |
|
|
Face Detection (Q)
|
97% |
812
9.68 IPS |
|
|
Depth Estimation (SP)
|
100% |
287
2.21 IPS |
|
|
Depth Estimation (HP)
|
100% |
287
2.21 IPS |
|
|
Depth Estimation (Q)
|
73% |
790
6.46 IPS |
|
|
Style Transfer (SP)
|
100% |
505
0.65 IPS |
|
|
Style Transfer (HP)
|
100% |
502
0.64 IPS |
|
|
Style Transfer (Q)
|
98% |
1275
1.64 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
135
4.98 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
135
4.98 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
504
18.7 IPS |
|
|
Text Classification (SP)
|
100% |
175
233.7 IPS |
|
|
Text Classification (HP)
|
100% |
178
237.1 IPS |
|
|
Text Classification (Q)
|
91% |
325
437.5 IPS |
|
|
Machine Translation (SP)
|
100% |
314
5.40 IPS |
|
|
Machine Translation (HP)
|
100% |
308
5.31 IPS |
|
|
Machine Translation (Q)
|
57% |
273
6.68 IPS |
