Samsung Galaxy S22 Ultra
Geekbench AI Score
1563
Single Precision Score
1527
Half Precision Score
2212
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 11 2025 03:01 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1449
269.5 IPS |
|
|
Image Classification (HP)
|
100% |
1399
260.3 IPS |
|
|
Image Classification (Q)
|
100% |
1895
352.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1384
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1378
22.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2107
34.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2299
2.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
2180
2.54 IPS |
|
|
Pose Estimation (Q)
|
84% |
4621
5.48 IPS |
|
|
Object Detection (SP)
|
98% |
1182
94.0 IPS |
|
|
Object Detection (HP)
|
98% |
1205
95.9 IPS |
|
|
Object Detection (Q)
|
83% |
1551
125.3 IPS |
|
|
Face Detection (SP)
|
100% |
2302
27.4 IPS |
|
|
Face Detection (HP)
|
100% |
2316
27.5 IPS |
|
|
Face Detection (Q)
|
95% |
3679
43.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
2532
19.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2423
18.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
3325
30.5 IPS |
|
|
Style Transfer (SP)
|
89% |
4604
5.98 IPS |
|
|
Style Transfer (HP)
|
89% |
4615
5.99 IPS |
|
|
Style Transfer (Q)
|
98% |
8846
11.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1116
41.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1115
41.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2184
80.9 IPS |
|
|
Text Classification (SP)
|
100% |
452
602.7 IPS |
|
|
Text Classification (HP)
|
99% |
417
556.0 IPS |
|
|
Text Classification (Q)
|
88% |
796
1.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
1181
20.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1136
19.6 IPS |
|
|
Machine Translation (Q)
|
50% |
522
18.5 IPS |
