Samsung Galaxy S22
Geekbench AI Score
1343
Single Precision Score
1336
Half Precision Score
1713
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 04 2025 09:13 AM |
| Views | 1 |
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 |
| Model ID | samsung SM-S901E |
| 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% |
1143
212.5 IPS |
|
|
Image Classification (HP)
|
100% |
1107
205.9 IPS |
|
|
Image Classification (Q)
|
100% |
1691
314.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1287
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1283
20.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1576
25.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1990
2.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
1957
2.28 IPS |
|
|
Pose Estimation (Q)
|
84% |
4176
4.95 IPS |
|
|
Object Detection (SP)
|
98% |
1066
84.8 IPS |
|
|
Object Detection (HP)
|
98% |
950
75.6 IPS |
|
|
Object Detection (Q)
|
83% |
1302
105.2 IPS |
|
|
Face Detection (SP)
|
100% |
2026
24.1 IPS |
|
|
Face Detection (HP)
|
100% |
2056
24.4 IPS |
|
|
Face Detection (Q)
|
95% |
3041
36.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
2023
15.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2338
18.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
2823
25.9 IPS |
|
|
Style Transfer (SP)
|
89% |
4021
5.22 IPS |
|
|
Style Transfer (HP)
|
89% |
4043
5.25 IPS |
|
|
Style Transfer (Q)
|
98% |
3541
4.57 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
964
35.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
962
35.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1822
67.5 IPS |
|
|
Text Classification (SP)
|
100% |
385
513.2 IPS |
|
|
Text Classification (HP)
|
99% |
383
511.6 IPS |
|
|
Text Classification (Q)
|
88% |
612
825.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1002
17.3 IPS |
|
|
Machine Translation (HP)
|
100% |
960
16.5 IPS |
|
|
Machine Translation (Q)
|
50% |
445
15.8 IPS |
