Samsung Galaxy S22 Ultra
Geekbench AI Score
461
Single Precision Score
675
Half Precision Score
701
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 17 2025 09:02 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 8 Gen 1 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
188
35.0 IPS |
|
|
Image Classification (HP)
|
100% |
318
59.2 IPS |
|
|
Image Classification (Q)
|
97% |
298
55.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
399
6.47 IPS |
|
|
Image Segmentation (HP)
|
100% |
671
10.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
632
10.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
626
0.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
997
1.16 IPS |
|
|
Pose Estimation (Q)
|
95% |
958
1.12 IPS |
|
|
Object Detection (SP)
|
100% |
301
23.9 IPS |
|
|
Object Detection (HP)
|
100% |
505
40.1 IPS |
|
|
Object Detection (Q)
|
89% |
506
40.5 IPS |
|
|
Face Detection (SP)
|
100% |
1258
14.9 IPS |
|
|
Face Detection (HP)
|
100% |
1799
21.4 IPS |
|
|
Face Detection (Q)
|
97% |
1767
21.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
964
7.43 IPS |
|
|
Depth Estimation (HP)
|
99% |
1646
12.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
1220
11.5 IPS |
|
|
Style Transfer (SP)
|
100% |
1693
2.18 IPS |
|
|
Style Transfer (HP)
|
100% |
3219
4.14 IPS |
|
|
Style Transfer (Q)
|
98% |
3256
4.20 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
276
10.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
296
10.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
419
15.5 IPS |
|
|
Text Classification (SP)
|
100% |
171
228.7 IPS |
|
|
Text Classification (HP)
|
100% |
200
267.6 IPS |
|
|
Text Classification (Q)
|
91% |
357
479.5 IPS |
|
|
Machine Translation (SP)
|
100% |
322
5.55 IPS |
|
|
Machine Translation (HP)
|
100% |
324
5.59 IPS |
|
|
Machine Translation (Q)
|
57% |
299
7.31 IPS |
