Samsung Galaxy S22 Ultra
Geekbench AI Score
1445
Single Precision Score
1451
Half Precision Score
1956
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | raylee930 |
| Upload Date | August 18 2024 09:10 AM |
| Views | 6 |
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% |
1133
210.8 IPS |
|
|
Image Classification (HP)
|
100% |
1193
221.9 IPS |
|
|
Image Classification (Q)
|
100% |
1669
310.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1248
20.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1261
20.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1925
31.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1984
2.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
2006
2.34 IPS |
|
|
Pose Estimation (Q)
|
84% |
4298
5.10 IPS |
|
|
Object Detection (SP)
|
98% |
1106
88.0 IPS |
|
|
Object Detection (HP)
|
98% |
1124
89.5 IPS |
|
|
Object Detection (Q)
|
87% |
1680
134.9 IPS |
|
|
Face Detection (SP)
|
100% |
2150
25.6 IPS |
|
|
Face Detection (HP)
|
100% |
2177
25.9 IPS |
|
|
Face Detection (Q)
|
95% |
3446
41.1 IPS |
|
|
Depth Estimation (SP)
|
98% |
2331
18.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2272
17.6 IPS |
|
|
Depth Estimation (Q)
|
75% |
3758
30.5 IPS |
|
|
Style Transfer (SP)
|
89% |
4559
5.92 IPS |
|
|
Style Transfer (HP)
|
89% |
4567
5.93 IPS |
|
|
Style Transfer (Q)
|
98% |
8713
11.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1080
39.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1078
39.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2167
80.3 IPS |
|
|
Text Classification (SP)
|
100% |
446
594.9 IPS |
|
|
Text Classification (HP)
|
99% |
444
592.8 IPS |
|
|
Text Classification (Q)
|
88% |
272
366.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1166
20.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1133
19.5 IPS |
|
|
Machine Translation (Q)
|
50% |
534
19.0 IPS |
