Samsung Galaxy S22
Geekbench AI Score
348
Single Precision Score
345
Half Precision Score
803
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 21 2024 10:04 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% |
153
28.5 IPS |
|
|
Image Classification (HP)
|
100% |
152
28.3 IPS |
|
|
Image Classification (Q)
|
100% |
564
104.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
189
3.06 IPS |
|
|
Image Segmentation (HP)
|
100% |
189
3.07 IPS |
|
|
Image Segmentation (Q)
|
98% |
559
9.10 IPS |
|
|
Pose Estimation (SP)
|
100% |
787
0.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
792
0.92 IPS |
|
|
Pose Estimation (Q)
|
84% |
1647
1.95 IPS |
|
|
Object Detection (SP)
|
98% |
157
12.5 IPS |
|
|
Object Detection (HP)
|
98% |
159
12.7 IPS |
|
|
Object Detection (Q)
|
83% |
575
46.4 IPS |
|
|
Face Detection (SP)
|
100% |
474
5.64 IPS |
|
|
Face Detection (HP)
|
100% |
471
5.60 IPS |
|
|
Face Detection (Q)
|
95% |
1173
14.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
630
4.87 IPS |
|
|
Depth Estimation (HP)
|
99% |
626
4.84 IPS |
|
|
Depth Estimation (Q)
|
64% |
1296
11.9 IPS |
|
|
Style Transfer (SP)
|
89% |
1250
1.62 IPS |
|
|
Style Transfer (HP)
|
89% |
1264
1.64 IPS |
|
|
Style Transfer (Q)
|
98% |
3280
4.23 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
378
14.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
380
14.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
825
30.6 IPS |
|
|
Text Classification (SP)
|
100% |
180
239.9 IPS |
|
|
Text Classification (HP)
|
99% |
161
214.9 IPS |
|
|
Text Classification (Q)
|
88% |
345
465.5 IPS |
|
|
Machine Translation (SP)
|
100% |
294
5.07 IPS |
|
|
Machine Translation (HP)
|
100% |
291
5.01 IPS |
|
|
Machine Translation (Q)
|
50% |
264
9.38 IPS |
