Samsung Galaxy S22+
Geekbench AI Score
693
Single Precision Score
1080
Half Precision Score
1076
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | kyhwana2 |
| Upload Date | February 21 2025 02:57 AM |
| Views | 6 |
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-S906E |
| 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% |
507
94.2 IPS |
|
|
Image Classification (HP)
|
100% |
858
159.6 IPS |
|
|
Image Classification (Q)
|
97% |
744
138.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
972
15.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1531
24.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1352
22.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
689
0.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
1241
1.45 IPS |
|
|
Pose Estimation (Q)
|
95% |
1241
1.45 IPS |
|
|
Object Detection (SP)
|
100% |
409
32.5 IPS |
|
|
Object Detection (HP)
|
100% |
674
53.4 IPS |
|
|
Object Detection (Q)
|
89% |
657
52.6 IPS |
|
|
Face Detection (SP)
|
100% |
1662
19.7 IPS |
|
|
Face Detection (HP)
|
100% |
2571
30.6 IPS |
|
|
Face Detection (Q)
|
97% |
2223
26.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1100
8.47 IPS |
|
|
Depth Estimation (HP)
|
99% |
2451
18.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
1968
18.5 IPS |
|
|
Style Transfer (SP)
|
100% |
2760
3.55 IPS |
|
|
Style Transfer (HP)
|
100% |
6032
7.75 IPS |
|
|
Style Transfer (Q)
|
98% |
6143
7.92 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
367
13.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
509
18.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
503
18.6 IPS |
|
|
Text Classification (SP)
|
100% |
248
331.6 IPS |
|
|
Text Classification (HP)
|
100% |
255
341.0 IPS |
|
|
Text Classification (Q)
|
91% |
499
670.8 IPS |
|
|
Machine Translation (SP)
|
100% |
405
6.98 IPS |
|
|
Machine Translation (HP)
|
100% |
401
6.91 IPS |
|
|
Machine Translation (Q)
|
57% |
378
9.23 IPS |
