Samsung Galaxy S22 Ultra
Geekbench AI Score
234
Single Precision Score
233
Half Precision Score
550
Quantized Score
Geekbench AI 1.5.0-Beta1 Corporate for Android AArch64
Result Information
| Upload Date | September 02 2025 05:22 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-S908W |
| 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% |
153
28.4 IPS |
|
|
Image Classification (Q)
|
99% |
412
76.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
197
3.20 IPS |
|
|
Image Segmentation (HP)
|
100% |
198
3.21 IPS |
|
|
Image Segmentation (Q)
|
98% |
448
7.28 IPS |
|
|
Pose Estimation (SP)
|
100% |
273
0.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
229
0.27 IPS |
|
|
Pose Estimation (Q)
|
98% |
862
1.01 IPS |
|
|
Object Detection (SP)
|
100% |
123
9.77 IPS |
|
|
Object Detection (HP)
|
100% |
123
9.76 IPS |
|
|
Object Detection (Q)
|
87% |
360
28.9 IPS |
|
|
Face Detection (SP)
|
100% |
344
4.08 IPS |
|
|
Face Detection (HP)
|
100% |
346
4.11 IPS |
|
|
Face Detection (Q)
|
97% |
813
9.70 IPS |
|
|
Depth Estimation (SP)
|
100% |
291
2.24 IPS |
|
|
Depth Estimation (HP)
|
99% |
290
2.24 IPS |
|
|
Depth Estimation (Q)
|
64% |
687
6.23 IPS |
|
|
Style Transfer (SP)
|
100% |
506
0.65 IPS |
|
|
Style Transfer (HP)
|
100% |
503
0.65 IPS |
|
|
Style Transfer (Q)
|
98% |
1282
1.65 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
134
4.93 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
133
4.90 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
480
17.8 IPS |
|
|
Text Classification (SP)
|
100% |
197
263.6 IPS |
|
|
Text Classification (HP)
|
100% |
220
293.7 IPS |
|
|
Text Classification (Q)
|
91% |
396
531.9 IPS |
|
|
Machine Translation (SP)
|
100% |
378
6.51 IPS |
|
|
Machine Translation (HP)
|
100% |
379
6.53 IPS |
|
|
Machine Translation (Q)
|
57% |
329
8.04 IPS |
