Samsung Galaxy S22 Ultra
Geekbench AI Score
1201
Single Precision Score
1181
Half Precision Score
1553
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 10 2025 05:24 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 1 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
1092
203.1 IPS |
|
|
Image Classification (HP)
|
100% |
909
169.1 IPS |
|
|
Image Classification (Q)
|
100% |
1362
253.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1060
17.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1049
17.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1513
24.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1712
2.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
1664
1.94 IPS |
|
|
Pose Estimation (Q)
|
84% |
3496
4.15 IPS |
|
|
Object Detection (SP)
|
98% |
797
63.4 IPS |
|
|
Object Detection (HP)
|
98% |
879
69.9 IPS |
|
|
Object Detection (Q)
|
83% |
1102
89.0 IPS |
|
|
Face Detection (SP)
|
100% |
1662
19.8 IPS |
|
|
Face Detection (HP)
|
100% |
1656
19.7 IPS |
|
|
Face Detection (Q)
|
95% |
2503
29.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
1926
14.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1798
13.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
2797
25.6 IPS |
|
|
Style Transfer (SP)
|
89% |
3961
5.14 IPS |
|
|
Style Transfer (HP)
|
89% |
3895
5.06 IPS |
|
|
Style Transfer (Q)
|
98% |
7150
9.22 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
931
34.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
932
34.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1806
66.9 IPS |
|
|
Text Classification (SP)
|
100% |
356
474.7 IPS |
|
|
Text Classification (HP)
|
99% |
376
501.5 IPS |
|
|
Text Classification (Q)
|
88% |
267
359.5 IPS |
|
|
Machine Translation (SP)
|
100% |
946
16.3 IPS |
|
|
Machine Translation (HP)
|
100% |
938
16.2 IPS |
|
|
Machine Translation (Q)
|
50% |
426
15.1 IPS |
