Samsung Galaxy S23
Geekbench AI Score
862
Single Precision Score
817
Half Precision Score
1408
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 17 2025 11:02 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
961
178.7 IPS |
|
|
Image Classification (HP)
|
100% |
667
124.0 IPS |
|
|
Image Classification (Q)
|
100% |
1404
261.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
482
7.82 IPS |
|
|
Image Segmentation (HP)
|
100% |
661
10.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1476
24.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1738
2.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
1480
1.73 IPS |
|
|
Pose Estimation (Q)
|
84% |
2849
3.38 IPS |
|
|
Object Detection (SP)
|
98% |
548
43.6 IPS |
|
|
Object Detection (HP)
|
98% |
512
40.7 IPS |
|
|
Object Detection (Q)
|
83% |
1069
86.4 IPS |
|
|
Face Detection (SP)
|
100% |
993
11.8 IPS |
|
|
Face Detection (HP)
|
100% |
1016
12.1 IPS |
|
|
Face Detection (Q)
|
95% |
2116
25.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
1267
9.79 IPS |
|
|
Depth Estimation (HP)
|
99% |
1378
10.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
1798
16.5 IPS |
|
|
Style Transfer (SP)
|
89% |
2978
3.87 IPS |
|
|
Style Transfer (HP)
|
89% |
2884
3.74 IPS |
|
|
Style Transfer (Q)
|
98% |
5232
6.75 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
757
28.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
627
23.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1461
54.2 IPS |
|
|
Text Classification (SP)
|
100% |
300
400.7 IPS |
|
|
Text Classification (HP)
|
99% |
243
324.4 IPS |
|
|
Text Classification (Q)
|
88% |
484
652.1 IPS |
|
|
Machine Translation (SP)
|
100% |
606
10.4 IPS |
|
|
Machine Translation (HP)
|
100% |
649
11.2 IPS |
|
|
Machine Translation (Q)
|
50% |
347
12.3 IPS |
