Samsung Galaxy S22 Ultra
Geekbench AI Score
602
Single Precision Score
837
Half Precision Score
874
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 17 2024 06:39 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 Ultra |
| Model ID | samsung SM-S908E |
| 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 | 10.94 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
210
39.0 IPS |
|
|
Image Classification (HP)
|
100% |
344
64.0 IPS |
|
|
Image Classification (Q)
|
97% |
331
61.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
954
15.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1186
19.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1160
18.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
718
0.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
1256
1.47 IPS |
|
|
Pose Estimation (Q)
|
95% |
1257
1.47 IPS |
|
|
Object Detection (SP)
|
100% |
375
29.7 IPS |
|
|
Object Detection (HP)
|
100% |
464
36.8 IPS |
|
|
Object Detection (Q)
|
89% |
592
47.4 IPS |
|
|
Face Detection (SP)
|
100% |
1579
18.8 IPS |
|
|
Face Detection (HP)
|
100% |
1640
19.5 IPS |
|
|
Face Detection (Q)
|
97% |
1598
19.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1099
8.47 IPS |
|
|
Depth Estimation (HP)
|
99% |
2235
17.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
1962
18.4 IPS |
|
|
Style Transfer (SP)
|
100% |
2738
3.52 IPS |
|
|
Style Transfer (HP)
|
100% |
5711
7.34 IPS |
|
|
Style Transfer (Q)
|
98% |
5482
7.07 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
363
13.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
498
18.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
489
18.1 IPS |
|
|
Text Classification (SP)
|
100% |
201
268.8 IPS |
|
|
Text Classification (HP)
|
100% |
202
269.5 IPS |
|
|
Text Classification (Q)
|
91% |
356
478.1 IPS |
|
|
Machine Translation (SP)
|
100% |
339
5.85 IPS |
|
|
Machine Translation (HP)
|
100% |
339
5.83 IPS |
|
|
Machine Translation (Q)
|
57% |
306
7.48 IPS |
