Samsung Galaxy S22
Geekbench AI Score
1688
Single Precision Score
1639
Half Precision Score
2623
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | October 19 2025 05:39 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Samsung Exynos 2200 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Samsung Galaxy S22 |
| Model ID | samsung SM-S901B |
| Motherboard | s5e9925 |
| Governor | energy_aware |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 1.82 GHz |
| Cluster 1 | 4 Cores @ 1.82 GHz |
| Cluster 2 | 3 Cores @ 2.52 GHz |
| Cluster 3 | 1 Core @ 2.80 GHz |
| Memory Information | |
|---|---|
| Size | 7.10 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1467
272.8 IPS |
|
|
Image Classification (HP)
|
100% |
1394
259.3 IPS |
|
|
Image Classification (Q)
|
100% |
1995
371.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1434
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1414
22.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2391
38.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2386
2.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
2313
2.70 IPS |
|
|
Pose Estimation (Q)
|
84% |
5075
6.02 IPS |
|
|
Object Detection (SP)
|
98% |
1200
95.5 IPS |
|
|
Object Detection (HP)
|
98% |
1100
87.5 IPS |
|
|
Object Detection (Q)
|
83% |
1765
142.6 IPS |
|
|
Face Detection (SP)
|
100% |
2246
26.7 IPS |
|
|
Face Detection (HP)
|
100% |
2246
26.7 IPS |
|
|
Face Detection (Q)
|
95% |
4217
50.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
2558
19.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2556
19.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
4302
39.4 IPS |
|
|
Style Transfer (SP)
|
89% |
5466
7.10 IPS |
|
|
Style Transfer (HP)
|
89% |
5448
7.07 IPS |
|
|
Style Transfer (Q)
|
98% |
11020
14.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1312
48.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1283
47.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2939
108.9 IPS |
|
|
Text Classification (SP)
|
100% |
611
816.1 IPS |
|
|
Text Classification (HP)
|
99% |
584
779.5 IPS |
|
|
Text Classification (Q)
|
88% |
1000
1.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
1244
21.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1197
20.6 IPS |
|
|
Machine Translation (Q)
|
50% |
616
21.9 IPS |
