Samsung Galaxy S22 Ultra
Geekbench AI Score
530
Single Precision Score
786
Half Precision Score
818
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 26 2024 08:18 PM |
| Views | 7 |
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-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% |
186
34.5 IPS |
|
|
Image Classification (HP)
|
100% |
315
58.6 IPS |
|
|
Image Classification (Q)
|
97% |
289
53.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
388
6.28 IPS |
|
|
Image Segmentation (HP)
|
100% |
664
10.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
623
10.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
684
0.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
1235
1.44 IPS |
|
|
Pose Estimation (Q)
|
95% |
1246
1.46 IPS |
|
|
Object Detection (SP)
|
100% |
378
30.0 IPS |
|
|
Object Detection (HP)
|
100% |
491
38.9 IPS |
|
|
Object Detection (Q)
|
89% |
610
48.8 IPS |
|
|
Face Detection (SP)
|
100% |
1543
18.3 IPS |
|
|
Face Detection (HP)
|
100% |
1640
19.5 IPS |
|
|
Face Detection (Q)
|
97% |
1654
19.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1086
8.37 IPS |
|
|
Depth Estimation (HP)
|
99% |
2401
18.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
1931
18.1 IPS |
|
|
Style Transfer (SP)
|
100% |
2521
3.24 IPS |
|
|
Style Transfer (HP)
|
100% |
5827
7.49 IPS |
|
|
Style Transfer (Q)
|
98% |
6023
7.77 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
346
12.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
479
17.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
484
17.9 IPS |
|
|
Text Classification (SP)
|
100% |
200
267.4 IPS |
|
|
Text Classification (HP)
|
100% |
201
267.7 IPS |
|
|
Text Classification (Q)
|
91% |
355
476.9 IPS |
|
|
Machine Translation (SP)
|
100% |
325
5.61 IPS |
|
|
Machine Translation (HP)
|
100% |
324
5.58 IPS |
|
|
Machine Translation (Q)
|
57% |
299
7.30 IPS |
