Samsung Galaxy S22 Ultra
Geekbench AI Score
154
Single Precision Score
154
Half Precision Score
355
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 08 2025 09:28 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm Snapdragon 8 Gen 1 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Samsung Galaxy S22 Ultra |
| Model ID | samsung SM-S908U |
| 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% |
89
16.6 IPS |
|
|
Image Classification (HP)
|
100% |
88
16.4 IPS |
|
|
Image Classification (Q)
|
99% |
231
43.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
116
1.88 IPS |
|
|
Image Segmentation (HP)
|
100% |
116
1.88 IPS |
|
|
Image Segmentation (Q)
|
98% |
247
4.01 IPS |
|
|
Pose Estimation (SP)
|
100% |
159
0.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
159
0.19 IPS |
|
|
Pose Estimation (Q)
|
98% |
596
0.70 IPS |
|
|
Object Detection (SP)
|
100% |
87
6.88 IPS |
|
|
Object Detection (HP)
|
100% |
87
6.90 IPS |
|
|
Object Detection (Q)
|
87% |
251
20.2 IPS |
|
|
Face Detection (SP)
|
100% |
240
2.85 IPS |
|
|
Face Detection (HP)
|
100% |
242
2.87 IPS |
|
|
Face Detection (Q)
|
97% |
518
6.18 IPS |
|
|
Depth Estimation (SP)
|
100% |
208
1.60 IPS |
|
|
Depth Estimation (HP)
|
99% |
209
1.61 IPS |
|
|
Depth Estimation (Q)
|
64% |
494
4.48 IPS |
|
|
Style Transfer (SP)
|
100% |
375
0.48 IPS |
|
|
Style Transfer (HP)
|
100% |
375
0.48 IPS |
|
|
Style Transfer (Q)
|
98% |
1000
1.29 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
101
3.72 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
101
3.72 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
343
12.7 IPS |
|
|
Text Classification (SP)
|
100% |
125
166.8 IPS |
|
|
Text Classification (HP)
|
100% |
126
167.7 IPS |
|
|
Text Classification (Q)
|
91% |
222
298.6 IPS |
|
|
Machine Translation (SP)
|
100% |
223
3.84 IPS |
|
|
Machine Translation (HP)
|
100% |
223
3.83 IPS |
|
|
Machine Translation (Q)
|
57% |
196
4.79 IPS |
