Samsung Galaxy S22
Geekbench AI Score
647
Single Precision Score
885
Half Precision Score
929
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 02 2025 12:29 PM |
| Views | 1 |
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-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% |
522
97.0 IPS |
|
|
Image Classification (HP)
|
100% |
858
159.6 IPS |
|
|
Image Classification (Q)
|
97% |
592
110.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
988
16.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1547
25.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1467
23.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
693
0.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
1248
1.46 IPS |
|
|
Pose Estimation (Q)
|
95% |
1255
1.47 IPS |
|
|
Object Detection (SP)
|
100% |
391
31.0 IPS |
|
|
Object Detection (HP)
|
100% |
383
30.4 IPS |
|
|
Object Detection (Q)
|
89% |
376
30.1 IPS |
|
|
Face Detection (SP)
|
100% |
1264
15.0 IPS |
|
|
Face Detection (HP)
|
100% |
1878
22.3 IPS |
|
|
Face Detection (Q)
|
97% |
2132
25.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1107
8.53 IPS |
|
|
Depth Estimation (HP)
|
99% |
2478
19.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
1924
18.1 IPS |
|
|
Style Transfer (SP)
|
100% |
2687
3.45 IPS |
|
|
Style Transfer (HP)
|
100% |
4845
6.23 IPS |
|
|
Style Transfer (Q)
|
98% |
5653
7.29 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
365
13.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
316
11.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
468
17.3 IPS |
|
|
Text Classification (SP)
|
100% |
202
269.6 IPS |
|
|
Text Classification (HP)
|
100% |
199
265.3 IPS |
|
|
Text Classification (Q)
|
91% |
356
478.3 IPS |
|
|
Machine Translation (SP)
|
100% |
334
5.75 IPS |
|
|
Machine Translation (HP)
|
100% |
331
5.69 IPS |
|
|
Machine Translation (Q)
|
57% |
303
7.40 IPS |
