Samsung Galaxy S22 Ultra
Geekbench AI Score
1759
Single Precision Score
1707
Half Precision Score
2607
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 18 2024 06:49 AM |
| Views | 1 |
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-S908E |
| 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% |
1482
275.6 IPS |
|
|
Image Classification (HP)
|
100% |
1454
270.4 IPS |
|
|
Image Classification (Q)
|
100% |
2066
384.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1508
24.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1525
24.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2302
37.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2500
2.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
2423
2.83 IPS |
|
|
Pose Estimation (Q)
|
84% |
5178
6.14 IPS |
|
|
Object Detection (SP)
|
98% |
1264
100.6 IPS |
|
|
Object Detection (HP)
|
98% |
1121
89.2 IPS |
|
|
Object Detection (Q)
|
83% |
1725
139.3 IPS |
|
|
Face Detection (SP)
|
100% |
2373
28.2 IPS |
|
|
Face Detection (HP)
|
100% |
2320
27.6 IPS |
|
|
Face Detection (Q)
|
95% |
3888
46.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
2726
21.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2670
20.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
4408
40.4 IPS |
|
|
Style Transfer (SP)
|
89% |
5740
7.45 IPS |
|
|
Style Transfer (HP)
|
89% |
5530
7.18 IPS |
|
|
Style Transfer (Q)
|
98% |
10863
14.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1405
51.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1354
50.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2726
101.0 IPS |
|
|
Text Classification (SP)
|
100% |
585
780.4 IPS |
|
|
Text Classification (HP)
|
99% |
607
810.7 IPS |
|
|
Text Classification (Q)
|
88% |
1091
1.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
1318
22.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1240
21.4 IPS |
|
|
Machine Translation (Q)
|
50% |
617
21.9 IPS |
