Samsung Galaxy S22 Ultra
Geekbench AI Score
229
Single Precision Score
8126
Half Precision Score
22928
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 17 2024 07:08 PM |
| Views | 1 |
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% |
157
29.2 IPS |
|
|
Image Classification (HP)
|
100% |
8243
1.53 KIPS |
|
|
Image Classification (Q)
|
99% |
22741
4.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
198
3.21 IPS |
|
|
Image Segmentation (HP)
|
100% |
6735
109.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
17691
287.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
268
0.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
35793
41.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
222488
260.9 IPS |
|
|
Object Detection (SP)
|
100% |
125
9.89 IPS |
|
|
Object Detection (HP)
|
100% |
7541
598.1 IPS |
|
|
Object Detection (Q)
|
88% |
10844
868.7 IPS |
|
|
Face Detection (SP)
|
100% |
346
4.11 IPS |
|
|
Face Detection (HP)
|
100% |
17981
213.7 IPS |
|
|
Face Detection (Q)
|
97% |
66059
787.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
293
2.26 IPS |
|
|
Depth Estimation (HP)
|
99% |
27652
213.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
61184
563.3 IPS |
|
|
Style Transfer (SP)
|
100% |
510
0.66 IPS |
|
|
Style Transfer (HP)
|
24% |
2069
62.6 IPS |
|
|
Style Transfer (Q)
|
98% |
145215
187.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
135
4.98 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21347
788.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
55517
2.06 KIPS |
|
|
Text Classification (SP)
|
100% |
177
236.3 IPS |
|
|
Text Classification (HP)
|
100% |
1776
2.37 KIPS |
|
|
Text Classification (Q)
|
94% |
3894
5.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
309
5.32 IPS |
|
|
Machine Translation (HP)
|
100% |
2149
37.0 IPS |
|
|
Machine Translation (Q)
|
37% |
326
32.9 IPS |
