Samsung Galaxy S23
Geekbench AI Score
895
Single Precision Score
719
Half Precision Score
1419
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | bkr899 |
| Upload Date | October 28 2025 05:42 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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 | 6.91 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
979
182.1 IPS |
|
|
Image Classification (HP)
|
100% |
694
129.1 IPS |
|
|
Image Classification (Q)
|
100% |
1410
262.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
741
12.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
402
6.52 IPS |
|
|
Image Segmentation (Q)
|
98% |
1509
24.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1688
1.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
1423
1.66 IPS |
|
|
Pose Estimation (Q)
|
84% |
2849
3.38 IPS |
|
|
Object Detection (SP)
|
98% |
555
44.2 IPS |
|
|
Object Detection (HP)
|
98% |
423
33.7 IPS |
|
|
Object Detection (Q)
|
83% |
1036
83.6 IPS |
|
|
Face Detection (SP)
|
100% |
925
11.0 IPS |
|
|
Face Detection (HP)
|
100% |
925
11.0 IPS |
|
|
Face Detection (Q)
|
95% |
2136
25.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
1156
8.94 IPS |
|
|
Depth Estimation (HP)
|
99% |
822
6.35 IPS |
|
|
Depth Estimation (Q)
|
64% |
1727
15.8 IPS |
|
|
Style Transfer (SP)
|
89% |
2905
3.77 IPS |
|
|
Style Transfer (HP)
|
89% |
2981
3.87 IPS |
|
|
Style Transfer (Q)
|
98% |
5647
7.28 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
674
24.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
541
20.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1403
52.0 IPS |
|
|
Text Classification (SP)
|
100% |
344
459.1 IPS |
|
|
Text Classification (HP)
|
99% |
344
458.6 IPS |
|
|
Text Classification (Q)
|
88% |
523
705.5 IPS |
|
|
Machine Translation (SP)
|
100% |
677
11.7 IPS |
|
|
Machine Translation (HP)
|
100% |
525
9.05 IPS |
|
|
Machine Translation (Q)
|
50% |
347
12.3 IPS |
