Samsung Galaxy S22 Ultra
Geekbench AI Score
617
Single Precision Score
928
Half Precision Score
928
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 18 2024 07:02 PM |
| Views | 1 |
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 | 7.06 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
335
62.2 IPS |
|
|
Image Classification (HP)
|
100% |
466
86.8 IPS |
|
|
Image Classification (Q)
|
97% |
354
66.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
979
15.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1477
23.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1501
24.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
718
0.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
1298
1.51 IPS |
|
|
Pose Estimation (Q)
|
95% |
1284
1.51 IPS |
|
|
Object Detection (SP)
|
100% |
382
30.3 IPS |
|
|
Object Detection (HP)
|
100% |
575
45.6 IPS |
|
|
Object Detection (Q)
|
89% |
553
44.3 IPS |
|
|
Face Detection (SP)
|
100% |
1563
18.6 IPS |
|
|
Face Detection (HP)
|
100% |
2106
25.0 IPS |
|
|
Face Detection (Q)
|
97% |
2153
25.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1090
8.40 IPS |
|
|
Depth Estimation (HP)
|
99% |
2412
18.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
1985
18.6 IPS |
|
|
Style Transfer (SP)
|
100% |
2515
3.23 IPS |
|
|
Style Transfer (HP)
|
100% |
5905
7.59 IPS |
|
|
Style Transfer (Q)
|
98% |
5779
7.45 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
361
13.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
501
18.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
483
17.9 IPS |
|
|
Text Classification (SP)
|
100% |
190
253.3 IPS |
|
|
Text Classification (HP)
|
100% |
195
259.9 IPS |
|
|
Text Classification (Q)
|
91% |
356
478.9 IPS |
|
|
Machine Translation (SP)
|
100% |
305
5.25 IPS |
|
|
Machine Translation (HP)
|
100% |
317
5.45 IPS |
|
|
Machine Translation (Q)
|
57% |
298
7.27 IPS |
