Samsung Galaxy S22
Geekbench AI Score
409
Single Precision Score
608
Half Precision Score
628
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 22 2024 12:06 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 8 Gen 1 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy S22 |
| Model ID | samsung SM-S901U1 |
| 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% |
197
36.6 IPS |
|
|
Image Classification (HP)
|
100% |
336
62.5 IPS |
|
|
Image Classification (Q)
|
97% |
322
60.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
393
6.37 IPS |
|
|
Image Segmentation (HP)
|
100% |
667
10.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
621
10.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
519
0.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
820
0.96 IPS |
|
|
Pose Estimation (Q)
|
95% |
823
0.96 IPS |
|
|
Object Detection (SP)
|
100% |
221
17.5 IPS |
|
|
Object Detection (HP)
|
100% |
379
30.0 IPS |
|
|
Object Detection (Q)
|
89% |
374
29.9 IPS |
|
|
Face Detection (SP)
|
100% |
932
11.1 IPS |
|
|
Face Detection (HP)
|
100% |
1433
17.0 IPS |
|
|
Face Detection (Q)
|
97% |
1319
15.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
669
5.16 IPS |
|
|
Depth Estimation (HP)
|
99% |
1310
10.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
1050
9.86 IPS |
|
|
Style Transfer (SP)
|
100% |
1465
1.88 IPS |
|
|
Style Transfer (HP)
|
100% |
2451
3.15 IPS |
|
|
Style Transfer (Q)
|
98% |
2412
3.11 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
170
6.29 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
249
9.21 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
311
11.5 IPS |
|
|
Text Classification (SP)
|
100% |
259
345.6 IPS |
|
|
Text Classification (HP)
|
100% |
241
322.0 IPS |
|
|
Text Classification (Q)
|
91% |
485
651.4 IPS |
|
|
Machine Translation (SP)
|
100% |
374
6.44 IPS |
|
|
Machine Translation (HP)
|
100% |
364
6.27 IPS |
|
|
Machine Translation (Q)
|
57% |
309
7.56 IPS |
