Samsung Galaxy S22
Geekbench AI Score
275
Single Precision Score
276
Half Precision Score
682
Quantized Score
Geekbench AI 1.5.0-Beta1 Corporate for Android AArch64
Result Information
| Upload Date | September 02 2025 05:18 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm Snapdragon 8 Gen 1 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy S22 |
| Model ID | samsung SM-S901W |
| 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% |
165
30.6 IPS |
|
|
Image Classification (HP)
|
100% |
167
31.1 IPS |
|
|
Image Classification (Q)
|
99% |
479
89.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
212
3.44 IPS |
|
|
Image Segmentation (HP)
|
100% |
214
3.46 IPS |
|
|
Image Segmentation (Q)
|
98% |
503
8.17 IPS |
|
|
Pose Estimation (SP)
|
100% |
283
0.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
282
0.33 IPS |
|
|
Pose Estimation (Q)
|
98% |
1128
1.32 IPS |
|
|
Object Detection (SP)
|
100% |
158
12.5 IPS |
|
|
Object Detection (HP)
|
100% |
159
12.6 IPS |
|
|
Object Detection (Q)
|
87% |
479
38.4 IPS |
|
|
Face Detection (SP)
|
100% |
433
5.15 IPS |
|
|
Face Detection (HP)
|
100% |
433
5.15 IPS |
|
|
Face Detection (Q)
|
97% |
1078
12.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
353
2.72 IPS |
|
|
Depth Estimation (HP)
|
99% |
355
2.73 IPS |
|
|
Depth Estimation (Q)
|
64% |
917
8.32 IPS |
|
|
Style Transfer (SP)
|
100% |
620
0.80 IPS |
|
|
Style Transfer (HP)
|
100% |
622
0.80 IPS |
|
|
Style Transfer (Q)
|
98% |
1572
2.03 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
174
6.44 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
177
6.52 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
656
24.3 IPS |
|
|
Text Classification (SP)
|
100% |
249
332.1 IPS |
|
|
Text Classification (HP)
|
100% |
244
325.7 IPS |
|
|
Text Classification (Q)
|
91% |
463
622.8 IPS |
|
|
Machine Translation (SP)
|
100% |
394
6.78 IPS |
|
|
Machine Translation (HP)
|
100% |
393
6.77 IPS |
|
|
Machine Translation (Q)
|
57% |
358
8.75 IPS |
