Samsung Galaxy S22 Ultra
Geekbench AI Score
200
Single Precision Score
10714
Half Precision Score
27488
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | laidbackdev |
| Upload Date | March 11 2026 08:13 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
75
13.9 IPS |
|
|
Image Classification (HP)
|
100% |
6741
1.25 KIPS |
|
|
Image Classification (Q)
|
99% |
22144
4.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
133
2.15 IPS |
|
|
Image Segmentation (HP)
|
100% |
6418
104.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
17745
288.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
212
0.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
34425
40.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
223073
261.5 IPS |
|
|
Object Detection (SP)
|
100% |
123
9.79 IPS |
|
|
Object Detection (HP)
|
100% |
7723
612.6 IPS |
|
|
Object Detection (Q)
|
88% |
11731
939.7 IPS |
|
|
Face Detection (SP)
|
100% |
350
4.16 IPS |
|
|
Face Detection (HP)
|
100% |
17758
211.0 IPS |
|
|
Face Detection (Q)
|
97% |
65704
783.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
284
2.19 IPS |
|
|
Depth Estimation (HP)
|
99% |
28166
217.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
61594
567.0 IPS |
|
|
Style Transfer (SP)
|
100% |
504
0.65 IPS |
|
|
Style Transfer (HP)
|
98% |
40425
52.1 IPS |
|
|
Style Transfer (Q)
|
98% |
212578
274.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
134
4.96 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21490
793.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
53230
1.97 KIPS |
|
|
Text Classification (SP)
|
100% |
178
237.1 IPS |
|
|
Text Classification (HP)
|
100% |
1878
2.51 KIPS |
|
|
Text Classification (Q)
|
94% |
4374
5.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
331
5.71 IPS |
|
|
Machine Translation (HP)
|
100% |
2125
36.6 IPS |
|
|
Machine Translation (Q)
|
50% |
1196
41.4 IPS |
