Samsung Galaxy S23
Geekbench AI Score
1774
Single Precision Score
1787
Half Precision Score
2400
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 06 2025 02:36 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy S23 |
| Model ID | samsung SM-S911U |
| Motherboard | kalama |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.36 GHz |
| Memory Information | |
|---|---|
| Size | 6.89 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1598
297.2 IPS |
|
|
Image Classification (HP)
|
100% |
1621
301.4 IPS |
|
|
Image Classification (Q)
|
100% |
2701
502.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1806
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1830
29.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2577
41.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2799
3.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
2854
3.33 IPS |
|
|
Pose Estimation (Q)
|
84% |
6548
7.77 IPS |
|
|
Object Detection (SP)
|
98% |
1548
123.2 IPS |
|
|
Object Detection (HP)
|
98% |
1568
124.8 IPS |
|
|
Object Detection (Q)
|
83% |
2155
174.1 IPS |
|
|
Face Detection (SP)
|
100% |
2934
34.9 IPS |
|
|
Face Detection (HP)
|
100% |
2830
33.6 IPS |
|
|
Face Detection (Q)
|
95% |
1776
21.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
2589
20.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2291
17.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
3669
33.6 IPS |
|
|
Style Transfer (SP)
|
89% |
5610
7.28 IPS |
|
|
Style Transfer (HP)
|
89% |
5628
7.31 IPS |
|
|
Style Transfer (Q)
|
98% |
9990
12.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1234
45.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1208
44.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2380
88.2 IPS |
|
|
Text Classification (SP)
|
100% |
474
633.0 IPS |
|
|
Text Classification (HP)
|
99% |
475
633.5 IPS |
|
|
Text Classification (Q)
|
88% |
811
1.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
994
17.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1195
20.6 IPS |
|
|
Machine Translation (Q)
|
50% |
515
18.3 IPS |
