Samsung Galaxy S22 Ultra
Geekbench AI Score
1363
Single Precision Score
1364
Half Precision Score
2038
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | zgqinc |
| Upload Date | August 17 2024 03:30 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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 | 10.95 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
947
176.1 IPS |
|
|
Image Classification (HP)
|
100% |
1089
202.5 IPS |
|
|
Image Classification (Q)
|
100% |
1624
302.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1087
17.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1090
17.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1623
26.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1984
2.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
1949
2.27 IPS |
|
|
Pose Estimation (Q)
|
84% |
4110
4.87 IPS |
|
|
Object Detection (SP)
|
98% |
1045
83.1 IPS |
|
|
Object Detection (HP)
|
98% |
1043
83.0 IPS |
|
|
Object Detection (Q)
|
87% |
1436
115.3 IPS |
|
|
Face Detection (SP)
|
100% |
1970
23.4 IPS |
|
|
Face Detection (HP)
|
100% |
1969
23.4 IPS |
|
|
Face Detection (Q)
|
95% |
2963
35.4 IPS |
|
|
Depth Estimation (SP)
|
98% |
2219
17.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2037
15.7 IPS |
|
|
Depth Estimation (Q)
|
75% |
3747
30.4 IPS |
|
|
Style Transfer (SP)
|
89% |
4345
5.64 IPS |
|
|
Style Transfer (HP)
|
89% |
4383
5.69 IPS |
|
|
Style Transfer (Q)
|
98% |
8677
11.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1071
39.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1060
39.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2148
79.6 IPS |
|
|
Text Classification (SP)
|
100% |
441
589.1 IPS |
|
|
Text Classification (HP)
|
99% |
438
584.8 IPS |
|
|
Text Classification (Q)
|
88% |
766
1.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
1164
20.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1133
19.5 IPS |
|
|
Machine Translation (Q)
|
50% |
502
17.8 IPS |
