Samsung Galaxy S22
Geekbench AI Score
1225
Single Precision Score
1212
Half Precision Score
1700
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 05 2025 05:34 PM |
| Views | 2 |
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% |
938
174.4 IPS |
|
|
Image Classification (HP)
|
100% |
975
181.3 IPS |
|
|
Image Classification (Q)
|
100% |
1387
258.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1032
16.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1051
17.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1485
24.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1937
2.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
1824
2.13 IPS |
|
|
Pose Estimation (Q)
|
84% |
3567
4.23 IPS |
|
|
Object Detection (SP)
|
98% |
800
63.7 IPS |
|
|
Object Detection (HP)
|
98% |
900
71.6 IPS |
|
|
Object Detection (Q)
|
83% |
1106
89.3 IPS |
|
|
Face Detection (SP)
|
100% |
1784
21.2 IPS |
|
|
Face Detection (HP)
|
100% |
1743
20.7 IPS |
|
|
Face Detection (Q)
|
95% |
2556
30.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
1969
15.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1660
12.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
2745
25.1 IPS |
|
|
Style Transfer (SP)
|
89% |
4046
5.25 IPS |
|
|
Style Transfer (HP)
|
89% |
4040
5.24 IPS |
|
|
Style Transfer (Q)
|
98% |
7242
9.34 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
954
35.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
952
35.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1818
67.4 IPS |
|
|
Text Classification (SP)
|
100% |
382
509.2 IPS |
|
|
Text Classification (HP)
|
99% |
380
507.4 IPS |
|
|
Text Classification (Q)
|
88% |
614
828.1 IPS |
|
|
Machine Translation (SP)
|
100% |
981
16.9 IPS |
|
|
Machine Translation (HP)
|
100% |
969
16.7 IPS |
|
|
Machine Translation (Q)
|
50% |
439
15.6 IPS |
