Samsung Galaxy S22 Ultra
Geekbench AI Score
275
Single Precision Score
11052
Half Precision Score
28422
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | fang1121cs |
| Upload Date | December 20 2024 02:51 PM |
| Views | 6 |
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-S9080 |
| 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% |
195
36.3 IPS |
|
|
Image Classification (HP)
|
100% |
8386
1.56 KIPS |
|
|
Image Classification (Q)
|
99% |
23906
4.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
227
3.68 IPS |
|
|
Image Segmentation (HP)
|
100% |
6660
108.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
19090
310.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
291
0.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
34843
40.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
222613
261.0 IPS |
|
|
Object Detection (SP)
|
100% |
152
12.1 IPS |
|
|
Object Detection (HP)
|
100% |
7751
614.8 IPS |
|
|
Object Detection (Q)
|
88% |
11887
952.2 IPS |
|
|
Face Detection (SP)
|
100% |
422
5.01 IPS |
|
|
Face Detection (HP)
|
100% |
18130
215.4 IPS |
|
|
Face Detection (Q)
|
97% |
70660
842.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
346
2.67 IPS |
|
|
Depth Estimation (HP)
|
99% |
28064
216.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
62558
575.9 IPS |
|
|
Style Transfer (SP)
|
100% |
604
0.78 IPS |
|
|
Style Transfer (HP)
|
98% |
40438
52.1 IPS |
|
|
Style Transfer (Q)
|
98% |
214861
277.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
167
6.16 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21394
790.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
56292
2.09 KIPS |
|
|
Text Classification (SP)
|
100% |
230
307.2 IPS |
|
|
Text Classification (HP)
|
100% |
1897
2.53 KIPS |
|
|
Text Classification (Q)
|
94% |
4389
5.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
377
6.49 IPS |
|
|
Machine Translation (HP)
|
100% |
2159
37.2 IPS |
|
|
Machine Translation (Q)
|
50% |
1214
42.0 IPS |
