Samsung Galaxy S22 Ultra
Geekbench AI Score
184
Single Precision Score
10132
Half Precision Score
26295
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | laidbackdev |
| Upload Date | July 01 2025 09:16 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm Snapdragon 8 Gen 1 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
97
18.1 IPS |
|
|
Image Classification (HP)
|
100% |
6792
1.26 KIPS |
|
|
Image Classification (Q)
|
99% |
18751
3.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
140
2.27 IPS |
|
|
Image Segmentation (HP)
|
100% |
6389
103.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
17818
289.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
189
0.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
31114
36.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
214785
251.8 IPS |
|
|
Object Detection (SP)
|
100% |
107
8.50 IPS |
|
|
Object Detection (HP)
|
100% |
7284
577.7 IPS |
|
|
Object Detection (Q)
|
88% |
10927
875.3 IPS |
|
|
Face Detection (SP)
|
100% |
302
3.58 IPS |
|
|
Face Detection (HP)
|
100% |
17279
205.3 IPS |
|
|
Face Detection (Q)
|
97% |
63366
755.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
253
1.95 IPS |
|
|
Depth Estimation (HP)
|
99% |
22256
172.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
60101
553.3 IPS |
|
|
Style Transfer (SP)
|
100% |
439
0.56 IPS |
|
|
Style Transfer (HP)
|
98% |
37453
48.3 IPS |
|
|
Style Transfer (Q)
|
98% |
211775
273.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
119
4.41 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21161
781.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
51831
1.92 KIPS |
|
|
Text Classification (SP)
|
100% |
154
205.1 IPS |
|
|
Text Classification (HP)
|
100% |
1834
2.45 KIPS |
|
|
Text Classification (Q)
|
94% |
4157
5.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
267
4.61 IPS |
|
|
Machine Translation (HP)
|
100% |
2076
35.8 IPS |
|
|
Machine Translation (Q)
|
50% |
1160
40.2 IPS |
