Samsung Galaxy S22+
Geekbench AI Score
533
Single Precision Score
778
Half Precision Score
792
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 06 2025 08:50 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-S906U1 |
| 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 | 7.06 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
189
35.2 IPS |
|
|
Image Classification (HP)
|
100% |
324
60.2 IPS |
|
|
Image Classification (Q)
|
97% |
302
56.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
385
6.24 IPS |
|
|
Image Segmentation (HP)
|
100% |
662
10.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
607
9.87 IPS |
|
|
Pose Estimation (SP)
|
100% |
688
0.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
1243
1.45 IPS |
|
|
Pose Estimation (Q)
|
95% |
1231
1.44 IPS |
|
|
Object Detection (SP)
|
100% |
351
27.8 IPS |
|
|
Object Detection (HP)
|
100% |
507
40.2 IPS |
|
|
Object Detection (Q)
|
89% |
633
50.6 IPS |
|
|
Face Detection (SP)
|
100% |
1427
17.0 IPS |
|
|
Face Detection (HP)
|
100% |
1494
17.7 IPS |
|
|
Face Detection (Q)
|
97% |
1391
16.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1067
8.22 IPS |
|
|
Depth Estimation (HP)
|
99% |
2107
16.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
1705
16.0 IPS |
|
|
Style Transfer (SP)
|
100% |
2709
3.48 IPS |
|
|
Style Transfer (HP)
|
100% |
5485
7.05 IPS |
|
|
Style Transfer (Q)
|
98% |
5412
6.98 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
341
12.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
469
17.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
445
16.5 IPS |
|
|
Text Classification (SP)
|
100% |
208
278.3 IPS |
|
|
Text Classification (HP)
|
100% |
207
276.4 IPS |
|
|
Text Classification (Q)
|
91% |
378
507.6 IPS |
|
|
Machine Translation (SP)
|
100% |
362
6.24 IPS |
|
|
Machine Translation (HP)
|
100% |
363
6.25 IPS |
|
|
Machine Translation (Q)
|
57% |
316
7.73 IPS |
