Samsung Galaxy S22 Ultra
Geekbench AI Score
686
Single Precision Score
925
Half Precision Score
947
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 04 2025 08:54 AM |
| 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-S908U |
| 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% |
439
81.6 IPS |
|
|
Image Classification (HP)
|
100% |
361
67.1 IPS |
|
|
Image Classification (Q)
|
97% |
321
60.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
951
15.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1283
20.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1267
20.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
715
0.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
1291
1.51 IPS |
|
|
Pose Estimation (Q)
|
95% |
1278
1.50 IPS |
|
|
Object Detection (SP)
|
100% |
412
32.6 IPS |
|
|
Object Detection (HP)
|
100% |
650
51.6 IPS |
|
|
Object Detection (Q)
|
89% |
647
51.8 IPS |
|
|
Face Detection (SP)
|
100% |
1590
18.9 IPS |
|
|
Face Detection (HP)
|
100% |
1557
18.5 IPS |
|
|
Face Detection (Q)
|
97% |
1587
18.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1100
8.47 IPS |
|
|
Depth Estimation (HP)
|
99% |
2289
17.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
1978
18.6 IPS |
|
|
Style Transfer (SP)
|
100% |
2749
3.53 IPS |
|
|
Style Transfer (HP)
|
100% |
6037
7.76 IPS |
|
|
Style Transfer (Q)
|
98% |
5747
7.41 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
366
13.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
492
18.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
471
17.5 IPS |
|
|
Text Classification (SP)
|
100% |
254
339.3 IPS |
|
|
Text Classification (HP)
|
100% |
270
360.5 IPS |
|
|
Text Classification (Q)
|
91% |
518
696.7 IPS |
|
|
Machine Translation (SP)
|
100% |
422
7.27 IPS |
|
|
Machine Translation (HP)
|
100% |
416
7.16 IPS |
|
|
Machine Translation (Q)
|
57% |
394
9.63 IPS |
