Samsung Galaxy S22
Geekbench AI Score
646
Single Precision Score
888
Half Precision Score
914
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | July 02 2025 12:12 AM |
| Views | 5 |
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-S901E |
| 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% |
451
83.8 IPS |
|
|
Image Classification (HP)
|
100% |
536
99.7 IPS |
|
|
Image Classification (Q)
|
97% |
496
92.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
967
15.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1160
18.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1104
18.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
689
0.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
1246
1.45 IPS |
|
|
Pose Estimation (Q)
|
95% |
1246
1.46 IPS |
|
|
Object Detection (SP)
|
100% |
387
30.7 IPS |
|
|
Object Detection (HP)
|
100% |
602
47.7 IPS |
|
|
Object Detection (Q)
|
89% |
632
50.6 IPS |
|
|
Face Detection (SP)
|
100% |
1536
18.3 IPS |
|
|
Face Detection (HP)
|
100% |
1532
18.2 IPS |
|
|
Face Detection (Q)
|
97% |
1738
20.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1087
8.38 IPS |
|
|
Depth Estimation (HP)
|
99% |
2290
17.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
1798
16.9 IPS |
|
|
Style Transfer (SP)
|
100% |
2739
3.52 IPS |
|
|
Style Transfer (HP)
|
100% |
6074
7.81 IPS |
|
|
Style Transfer (Q)
|
98% |
6049
7.80 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
366
13.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
472
17.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
469
17.4 IPS |
|
|
Text Classification (SP)
|
100% |
199
265.7 IPS |
|
|
Text Classification (HP)
|
100% |
200
266.5 IPS |
|
|
Text Classification (Q)
|
91% |
356
478.4 IPS |
|
|
Machine Translation (SP)
|
100% |
327
5.63 IPS |
|
|
Machine Translation (HP)
|
100% |
328
5.64 IPS |
|
|
Machine Translation (Q)
|
57% |
301
7.34 IPS |
