Samsung Galaxy S23
Geekbench AI Score
922
Single Precision Score
731
Half Precision Score
1473
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 14 2025 01:55 PM |
| Views | 1 |
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-S911B |
| 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% |
982
182.7 IPS |
|
|
Image Classification (HP)
|
100% |
677
125.9 IPS |
|
|
Image Classification (Q)
|
100% |
1438
267.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
704
11.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
419
6.80 IPS |
|
|
Image Segmentation (Q)
|
98% |
1646
26.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1868
2.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
1645
1.92 IPS |
|
|
Pose Estimation (Q)
|
84% |
3074
3.65 IPS |
|
|
Object Detection (SP)
|
98% |
756
60.1 IPS |
|
|
Object Detection (HP)
|
98% |
304
24.2 IPS |
|
|
Object Detection (Q)
|
83% |
983
79.4 IPS |
|
|
Face Detection (SP)
|
100% |
905
10.8 IPS |
|
|
Face Detection (HP)
|
100% |
741
8.80 IPS |
|
|
Face Detection (Q)
|
95% |
2164
25.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
941
7.27 IPS |
|
|
Depth Estimation (HP)
|
99% |
925
7.15 IPS |
|
|
Depth Estimation (Q)
|
64% |
1728
15.8 IPS |
|
|
Style Transfer (SP)
|
89% |
3999
5.19 IPS |
|
|
Style Transfer (HP)
|
89% |
2998
3.89 IPS |
|
|
Style Transfer (Q)
|
98% |
6227
8.03 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
545
20.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
643
23.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1488
55.2 IPS |
|
|
Text Classification (SP)
|
100% |
350
466.8 IPS |
|
|
Text Classification (HP)
|
99% |
352
469.5 IPS |
|
|
Text Classification (Q)
|
88% |
578
779.6 IPS |
|
|
Machine Translation (SP)
|
100% |
704
12.1 IPS |
|
|
Machine Translation (HP)
|
100% |
663
11.4 IPS |
|
|
Machine Translation (Q)
|
50% |
337
12.0 IPS |
