Samsung Galaxy S22 Ultra
Geekbench AI Score
238
Single Precision Score
8026
Half Precision Score
22972
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | laidbackdev |
| Upload Date | September 13 2024 02:08 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
172
32.0 IPS |
|
|
Image Classification (HP)
|
100% |
8319
1.55 KIPS |
|
|
Image Classification (Q)
|
99% |
23230
4.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
228
3.70 IPS |
|
|
Image Segmentation (HP)
|
100% |
6727
109.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
17806
289.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
281
0.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
30446
35.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
214514
251.5 IPS |
|
|
Object Detection (SP)
|
100% |
144
11.4 IPS |
|
|
Object Detection (HP)
|
100% |
7743
614.2 IPS |
|
|
Object Detection (Q)
|
88% |
11019
882.8 IPS |
|
|
Face Detection (SP)
|
100% |
352
4.18 IPS |
|
|
Face Detection (HP)
|
100% |
17832
211.9 IPS |
|
|
Face Detection (Q)
|
97% |
67960
810.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
285
2.19 IPS |
|
|
Depth Estimation (HP)
|
99% |
27861
215.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
62336
573.9 IPS |
|
|
Style Transfer (SP)
|
100% |
499
0.64 IPS |
|
|
Style Transfer (HP)
|
24% |
2084
63.0 IPS |
|
|
Style Transfer (Q)
|
98% |
145667
187.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
134
4.94 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21401
790.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
55234
2.05 KIPS |
|
|
Text Classification (SP)
|
100% |
177
236.9 IPS |
|
|
Text Classification (HP)
|
100% |
1778
2.37 KIPS |
|
|
Text Classification (Q)
|
94% |
3779
5.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
310
5.34 IPS |
|
|
Machine Translation (HP)
|
100% |
2135
36.8 IPS |
|
|
Machine Translation (Q)
|
37% |
325
32.7 IPS |
