Samsung Galaxy S22
Geekbench AI Score
1305
Single Precision Score
2173
Half Precision Score
1970
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | lopri |
| Upload Date | September 19 2025 05:57 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 8 Gen 1 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Samsung Galaxy S22 |
| Model ID | samsung SM-S901U |
| 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 | 7.05 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
940
174.7 IPS |
|
|
Image Classification (HP)
|
100% |
1394
259.3 IPS |
|
|
Image Classification (Q)
|
99% |
1244
232.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1634
26.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2710
43.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2379
38.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6136
7.16 IPS |
|
|
Pose Estimation (HP)
|
99% |
11315
13.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
11044
12.9 IPS |
|
|
Object Detection (SP)
|
100% |
716
56.8 IPS |
|
|
Object Detection (HP)
|
99% |
1213
96.2 IPS |
|
|
Object Detection (Q)
|
85% |
1075
86.5 IPS |
|
|
Face Detection (SP)
|
100% |
2406
28.6 IPS |
|
|
Face Detection (HP)
|
100% |
4556
54.1 IPS |
|
|
Face Detection (Q)
|
97% |
3880
46.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3086
23.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
5359
41.4 IPS |
|
|
Depth Estimation (Q)
|
65% |
4768
42.8 IPS |
|
|
Style Transfer (SP)
|
100% |
7331
9.42 IPS |
|
|
Style Transfer (HP)
|
100% |
14526
18.7 IPS |
|
|
Style Transfer (Q)
|
98% |
14312
18.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1457
53.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2936
108.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3093
114.6 IPS |
|
|
Text Classification (SP)
|
35% |
50
485.7 IPS |
|
|
Text Classification (HP)
|
35% |
67
611.8 IPS |
|
|
Text Classification (Q)
|
35% |
67
610.8 IPS |
|
|
Machine Translation (SP)
|
100% |
538
9.27 IPS |
|
|
Machine Translation (HP)
|
97% |
649
11.2 IPS |
|
|
Machine Translation (Q)
|
64% |
458
9.42 IPS |
