Samsung Galaxy S22 Ultra
Geekbench AI Score
1219
Single Precision Score
1964
Half Precision Score
1808
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | September 03 2025 03:47 PM |
| Views | 5 |
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-S9080 |
| 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% |
872
162.2 IPS |
|
|
Image Classification (HP)
|
100% |
1456
270.7 IPS |
|
|
Image Classification (Q)
|
99% |
1343
250.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1658
26.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2942
47.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2336
38.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5952
6.95 IPS |
|
|
Pose Estimation (HP)
|
99% |
10945
12.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
10629
12.4 IPS |
|
|
Object Detection (SP)
|
100% |
719
57.0 IPS |
|
|
Object Detection (HP)
|
99% |
1172
92.9 IPS |
|
|
Object Detection (Q)
|
85% |
1187
95.5 IPS |
|
|
Face Detection (SP)
|
100% |
2433
28.9 IPS |
|
|
Face Detection (HP)
|
100% |
4415
52.5 IPS |
|
|
Face Detection (Q)
|
97% |
3776
45.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3005
23.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
4977
38.5 IPS |
|
|
Depth Estimation (Q)
|
65% |
4231
38.0 IPS |
|
|
Style Transfer (SP)
|
100% |
6724
8.64 IPS |
|
|
Style Transfer (HP)
|
100% |
13879
17.8 IPS |
|
|
Style Transfer (Q)
|
98% |
12926
16.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1257
46.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2140
79.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2202
81.6 IPS |
|
|
Text Classification (SP)
|
35% |
42
407.6 IPS |
|
|
Text Classification (HP)
|
35% |
56
510.1 IPS |
|
|
Text Classification (Q)
|
35% |
57
516.9 IPS |
|
|
Machine Translation (SP)
|
100% |
453
7.80 IPS |
|
|
Machine Translation (HP)
|
97% |
426
7.37 IPS |
|
|
Machine Translation (Q)
|
64% |
365
7.50 IPS |
