Samsung Galaxy S22 Ultra
Geekbench AI Score
264
Single Precision Score
264
Half Precision Score
684
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 20 2025 08:39 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Samsung Exynos 2200 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Samsung Galaxy S22 Ultra |
| Model ID | samsung SM-S908B |
| Motherboard | s5e9925 |
| Governor | energy_aware |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 1.82 GHz |
| Cluster 1 | 4 Cores @ 1.82 GHz |
| Cluster 2 | 3 Cores @ 2.52 GHz |
| Cluster 3 | 1 Core @ 2.80 GHz |
| Memory Information | |
|---|---|
| Size | 10.27 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
163
30.3 IPS |
|
|
Image Classification (HP)
|
100% |
160
29.8 IPS |
|
|
Image Classification (Q)
|
99% |
477
88.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
204
3.31 IPS |
|
|
Image Segmentation (HP)
|
100% |
206
3.34 IPS |
|
|
Image Segmentation (Q)
|
98% |
516
8.39 IPS |
|
|
Pose Estimation (SP)
|
100% |
264
0.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
266
0.31 IPS |
|
|
Pose Estimation (Q)
|
98% |
1148
1.34 IPS |
|
|
Object Detection (SP)
|
100% |
155
12.3 IPS |
|
|
Object Detection (HP)
|
100% |
154
12.2 IPS |
|
|
Object Detection (Q)
|
87% |
493
39.5 IPS |
|
|
Face Detection (SP)
|
100% |
421
5.00 IPS |
|
|
Face Detection (HP)
|
100% |
421
5.00 IPS |
|
|
Face Detection (Q)
|
97% |
1070
12.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
339
2.61 IPS |
|
|
Depth Estimation (HP)
|
99% |
335
2.58 IPS |
|
|
Depth Estimation (Q)
|
64% |
895
8.12 IPS |
|
|
Style Transfer (SP)
|
100% |
584
0.75 IPS |
|
|
Style Transfer (HP)
|
100% |
585
0.75 IPS |
|
|
Style Transfer (Q)
|
98% |
1543
1.99 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
167
6.17 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
168
6.21 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
664
24.6 IPS |
|
|
Text Classification (SP)
|
100% |
242
323.2 IPS |
|
|
Text Classification (HP)
|
100% |
240
320.5 IPS |
|
|
Text Classification (Q)
|
91% |
465
625.6 IPS |
|
|
Machine Translation (SP)
|
100% |
371
6.40 IPS |
|
|
Machine Translation (HP)
|
100% |
372
6.41 IPS |
|
|
Machine Translation (Q)
|
57% |
353
8.63 IPS |
