Samsung Galaxy S22 Ultra
Geekbench AI Score
1438
Single Precision Score
1442
Half Precision Score
2115
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 21 2024 02:42 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 1 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy S22 Ultra |
| Model ID | samsung SM-S908N |
| 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% |
1401
260.6 IPS |
|
|
Image Classification (HP)
|
100% |
1175
218.5 IPS |
|
|
Image Classification (Q)
|
100% |
1903
353.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1355
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1299
21.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2149
34.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2196
2.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
2183
2.55 IPS |
|
|
Pose Estimation (Q)
|
84% |
4657
5.52 IPS |
|
|
Object Detection (SP)
|
98% |
1220
97.1 IPS |
|
|
Object Detection (HP)
|
98% |
1184
94.2 IPS |
|
|
Object Detection (Q)
|
83% |
1563
126.3 IPS |
|
|
Face Detection (SP)
|
100% |
2026
24.1 IPS |
|
|
Face Detection (HP)
|
100% |
2063
24.5 IPS |
|
|
Face Detection (Q)
|
95% |
3002
35.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
1659
12.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2178
16.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
3226
29.5 IPS |
|
|
Style Transfer (SP)
|
89% |
4459
5.79 IPS |
|
|
Style Transfer (HP)
|
89% |
4466
5.80 IPS |
|
|
Style Transfer (Q)
|
98% |
8434
10.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1067
39.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1063
39.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2116
78.4 IPS |
|
|
Text Classification (SP)
|
100% |
443
591.2 IPS |
|
|
Text Classification (HP)
|
99% |
440
587.2 IPS |
|
|
Text Classification (Q)
|
88% |
721
972.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1056
18.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1051
18.1 IPS |
|
|
Machine Translation (Q)
|
50% |
483
17.2 IPS |
