Samsung Galaxy S22 Ultra
Geekbench AI Score
361
Single Precision Score
356
Half Precision Score
820
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | purity |
| Upload Date | August 15 2024 08:58 PM |
| Views | 4 |
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-S908N |
| 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% |
161
29.9 IPS |
|
|
Image Classification (HP)
|
100% |
141
26.2 IPS |
|
|
Image Classification (Q)
|
100% |
515
95.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
187
3.03 IPS |
|
|
Image Segmentation (HP)
|
100% |
186
3.02 IPS |
|
|
Image Segmentation (Q)
|
98% |
585
9.51 IPS |
|
|
Pose Estimation (SP)
|
100% |
769
0.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
787
0.92 IPS |
|
|
Pose Estimation (Q)
|
84% |
1644
1.95 IPS |
|
|
Object Detection (SP)
|
98% |
160
12.8 IPS |
|
|
Object Detection (HP)
|
98% |
160
12.7 IPS |
|
|
Object Detection (Q)
|
87% |
594
47.7 IPS |
|
|
Face Detection (SP)
|
100% |
478
5.68 IPS |
|
|
Face Detection (HP)
|
100% |
460
5.47 IPS |
|
|
Face Detection (Q)
|
95% |
1131
13.5 IPS |
|
|
Depth Estimation (SP)
|
98% |
663
5.12 IPS |
|
|
Depth Estimation (HP)
|
99% |
671
5.19 IPS |
|
|
Depth Estimation (Q)
|
75% |
1477
12.0 IPS |
|
|
Style Transfer (SP)
|
89% |
1749
2.27 IPS |
|
|
Style Transfer (HP)
|
89% |
1759
2.28 IPS |
|
|
Style Transfer (Q)
|
98% |
3346
4.31 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
383
14.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
383
14.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
806
29.9 IPS |
|
|
Text Classification (SP)
|
100% |
164
219.3 IPS |
|
|
Text Classification (HP)
|
99% |
163
217.6 IPS |
|
|
Text Classification (Q)
|
88% |
380
512.7 IPS |
|
|
Machine Translation (SP)
|
100% |
298
5.13 IPS |
|
|
Machine Translation (HP)
|
100% |
293
5.05 IPS |
|
|
Machine Translation (Q)
|
50% |
276
9.80 IPS |
