Samsung Galaxy S22 Ultra
Geekbench AI Score
620
Single Precision Score
812
Half Precision Score
829
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | rbtree |
| Upload Date | August 16 2024 02:05 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 8 Gen 1 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy S22 Ultra |
| Model ID | samsung SM-S908U1 |
| 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% |
455
84.6 IPS |
|
|
Image Classification (HP)
|
100% |
385
71.5 IPS |
|
|
Image Classification (Q)
|
97% |
357
66.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
951
15.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1180
19.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
949
15.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
715
0.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
1291
1.51 IPS |
|
|
Pose Estimation (Q)
|
95% |
1292
1.51 IPS |
|
|
Object Detection (SP)
|
100% |
387
30.7 IPS |
|
|
Object Detection (HP)
|
100% |
510
40.5 IPS |
|
|
Object Detection (Q)
|
86% |
613
49.3 IPS |
|
|
Face Detection (SP)
|
100% |
1656
19.7 IPS |
|
|
Face Detection (HP)
|
100% |
1650
19.6 IPS |
|
|
Face Detection (Q)
|
97% |
1783
21.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1076
8.29 IPS |
|
|
Depth Estimation (HP)
|
99% |
2324
17.9 IPS |
|
|
Depth Estimation (Q)
|
75% |
2055
16.7 IPS |
|
|
Style Transfer (SP)
|
100% |
2740
3.52 IPS |
|
|
Style Transfer (HP)
|
100% |
5939
7.64 IPS |
|
|
Style Transfer (Q)
|
98% |
5956
7.68 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
364
13.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
460
17.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
427
15.8 IPS |
|
|
Text Classification (SP)
|
100% |
152
203.4 IPS |
|
|
Text Classification (HP)
|
100% |
153
204.1 IPS |
|
|
Text Classification (Q)
|
91% |
269
361.4 IPS |
|
|
Machine Translation (SP)
|
100% |
262
4.51 IPS |
|
|
Machine Translation (HP)
|
100% |
261
4.50 IPS |
|
|
Machine Translation (Q)
|
57% |
230
5.63 IPS |
