Samsung Galaxy S22 Ultra
Geekbench AI Score
240
Single Precision Score
240
Half Precision Score
576
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | raritymlp |
| Upload Date | August 16 2024 01:53 PM |
| Views | 2 |
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 Ultra |
| Model ID | samsung SM-S908E |
| 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 | 10.94 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
152
28.2 IPS |
|
|
Image Classification (HP)
|
100% |
152
28.2 IPS |
|
|
Image Classification (Q)
|
97% |
422
78.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
193
3.13 IPS |
|
|
Image Segmentation (HP)
|
100% |
196
3.18 IPS |
|
|
Image Segmentation (Q)
|
98% |
452
7.35 IPS |
|
|
Pose Estimation (SP)
|
100% |
271
0.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
271
0.32 IPS |
|
|
Pose Estimation (Q)
|
98% |
861
1.01 IPS |
|
|
Object Detection (SP)
|
100% |
122
9.71 IPS |
|
|
Object Detection (HP)
|
100% |
122
9.67 IPS |
|
|
Object Detection (Q)
|
89% |
375
30.0 IPS |
|
|
Face Detection (SP)
|
100% |
341
4.06 IPS |
|
|
Face Detection (HP)
|
100% |
340
4.05 IPS |
|
|
Face Detection (Q)
|
97% |
807
9.63 IPS |
|
|
Depth Estimation (SP)
|
100% |
283
2.18 IPS |
|
|
Depth Estimation (HP)
|
100% |
284
2.19 IPS |
|
|
Depth Estimation (Q)
|
73% |
781
6.39 IPS |
|
|
Style Transfer (SP)
|
100% |
522
0.67 IPS |
|
|
Style Transfer (HP)
|
100% |
503
0.65 IPS |
|
|
Style Transfer (Q)
|
98% |
1273
1.64 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
159
5.87 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
167
6.16 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
619
22.9 IPS |
|
|
Text Classification (SP)
|
100% |
218
291.3 IPS |
|
|
Text Classification (HP)
|
100% |
216
288.9 IPS |
|
|
Text Classification (Q)
|
91% |
400
538.2 IPS |
|
|
Machine Translation (SP)
|
100% |
375
6.46 IPS |
|
|
Machine Translation (HP)
|
100% |
375
6.46 IPS |
|
|
Machine Translation (Q)
|
57% |
330
8.07 IPS |
