Samsung Galaxy S22
Geekbench AI Score
1629
Single Precision Score
1597
Half Precision Score
2378
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 19 2025 02:18 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1437
267.3 IPS |
|
|
Image Classification (HP)
|
100% |
1367
254.2 IPS |
|
|
Image Classification (Q)
|
100% |
1987
369.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1353
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1319
21.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2059
33.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2313
2.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
2232
2.60 IPS |
|
|
Pose Estimation (Q)
|
84% |
4711
5.59 IPS |
|
|
Object Detection (SP)
|
98% |
1168
92.9 IPS |
|
|
Object Detection (HP)
|
98% |
1222
97.2 IPS |
|
|
Object Detection (Q)
|
83% |
1546
124.9 IPS |
|
|
Face Detection (SP)
|
100% |
2306
27.4 IPS |
|
|
Face Detection (HP)
|
100% |
2306
27.4 IPS |
|
|
Face Detection (Q)
|
95% |
3811
45.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
2480
19.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2438
18.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
3938
36.1 IPS |
|
|
Style Transfer (SP)
|
89% |
5283
6.86 IPS |
|
|
Style Transfer (HP)
|
89% |
5266
6.84 IPS |
|
|
Style Transfer (Q)
|
98% |
10010
12.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1276
47.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1244
45.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2474
91.7 IPS |
|
|
Text Classification (SP)
|
100% |
543
725.0 IPS |
|
|
Text Classification (HP)
|
99% |
534
712.6 IPS |
|
|
Text Classification (Q)
|
88% |
991
1.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
1203
20.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1116
19.2 IPS |
|
|
Machine Translation (Q)
|
50% |
529
18.8 IPS |
