Samsung Galaxy S22 Ultra
Geekbench AI Score
205
Single Precision Score
198
Half Precision Score
464
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 17 2024 07:00 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
136
25.4 IPS |
|
|
Image Classification (HP)
|
100% |
137
25.5 IPS |
|
|
Image Classification (Q)
|
99% |
362
67.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
179
2.90 IPS |
|
|
Image Segmentation (HP)
|
100% |
181
2.93 IPS |
|
|
Image Segmentation (Q)
|
98% |
392
6.37 IPS |
|
|
Pose Estimation (SP)
|
100% |
240
0.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
157
0.18 IPS |
|
|
Pose Estimation (Q)
|
98% |
627
0.73 IPS |
|
|
Object Detection (SP)
|
100% |
111
8.80 IPS |
|
|
Object Detection (HP)
|
100% |
112
8.86 IPS |
|
|
Object Detection (Q)
|
87% |
319
25.6 IPS |
|
|
Face Detection (SP)
|
100% |
301
3.58 IPS |
|
|
Face Detection (HP)
|
100% |
304
3.61 IPS |
|
|
Face Detection (Q)
|
97% |
656
7.82 IPS |
|
|
Depth Estimation (SP)
|
100% |
258
1.99 IPS |
|
|
Depth Estimation (HP)
|
99% |
259
2.00 IPS |
|
|
Depth Estimation (Q)
|
64% |
636
5.77 IPS |
|
|
Style Transfer (SP)
|
100% |
464
0.60 IPS |
|
|
Style Transfer (HP)
|
100% |
463
0.60 IPS |
|
|
Style Transfer (Q)
|
98% |
1264
1.63 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
127
4.71 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
127
4.70 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
446
16.5 IPS |
|
|
Text Classification (SP)
|
100% |
163
217.3 IPS |
|
|
Text Classification (HP)
|
100% |
163
217.1 IPS |
|
|
Text Classification (Q)
|
91% |
286
383.7 IPS |
|
|
Machine Translation (SP)
|
100% |
282
4.86 IPS |
|
|
Machine Translation (HP)
|
100% |
282
4.85 IPS |
|
|
Machine Translation (Q)
|
57% |
245
5.99 IPS |
