Samsung Galaxy S22 Ultra
Geekbench AI Score
450
Single Precision Score
440
Half Precision Score
1047
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 04 2025 11:59 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 1 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Samsung Galaxy S22 Ultra |
| Model ID | samsung SM-S908W |
| 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 | 7.05 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
221
41.2 IPS |
|
|
Image Classification (HP)
|
100% |
203
37.8 IPS |
|
|
Image Classification (Q)
|
100% |
739
137.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
240
3.89 IPS |
|
|
Image Segmentation (HP)
|
100% |
250
4.05 IPS |
|
|
Image Segmentation (Q)
|
98% |
712
11.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1005
1.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
965
1.13 IPS |
|
|
Pose Estimation (Q)
|
84% |
2103
2.49 IPS |
|
|
Object Detection (SP)
|
98% |
210
16.7 IPS |
|
|
Object Detection (HP)
|
98% |
207
16.5 IPS |
|
|
Object Detection (Q)
|
83% |
807
65.2 IPS |
|
|
Face Detection (SP)
|
100% |
593
7.05 IPS |
|
|
Face Detection (HP)
|
100% |
580
6.89 IPS |
|
|
Face Detection (Q)
|
95% |
1528
18.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
793
6.13 IPS |
|
|
Depth Estimation (HP)
|
99% |
798
6.17 IPS |
|
|
Depth Estimation (Q)
|
64% |
1709
15.7 IPS |
|
|
Style Transfer (SP)
|
89% |
1544
2.00 IPS |
|
|
Style Transfer (HP)
|
89% |
1543
2.00 IPS |
|
|
Style Transfer (Q)
|
98% |
4247
5.48 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
471
17.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
476
17.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1086
40.2 IPS |
|
|
Text Classification (SP)
|
100% |
237
316.4 IPS |
|
|
Text Classification (HP)
|
99% |
212
283.3 IPS |
|
|
Text Classification (Q)
|
88% |
460
620.3 IPS |
|
|
Machine Translation (SP)
|
100% |
376
6.48 IPS |
|
|
Machine Translation (HP)
|
100% |
374
6.44 IPS |
|
|
Machine Translation (Q)
|
50% |
320
11.3 IPS |
