Samsung Galaxy S23
Geekbench AI Score
994
Single Precision Score
889
Half Precision Score
1777
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 13 2025 12:30 PM |
| Views | 9 |
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-S911N |
| 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% |
1049
195.0 IPS |
|
|
Image Classification (HP)
|
100% |
707
131.4 IPS |
|
|
Image Classification (Q)
|
100% |
1394
259.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
545
8.83 IPS |
|
|
Image Segmentation (HP)
|
100% |
439
7.12 IPS |
|
|
Image Segmentation (Q)
|
98% |
1702
27.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1924
2.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
1786
2.08 IPS |
|
|
Pose Estimation (Q)
|
84% |
3582
4.25 IPS |
|
|
Object Detection (SP)
|
98% |
713
56.7 IPS |
|
|
Object Detection (HP)
|
98% |
472
37.6 IPS |
|
|
Object Detection (Q)
|
83% |
1153
93.1 IPS |
|
|
Face Detection (SP)
|
100% |
1214
14.4 IPS |
|
|
Face Detection (HP)
|
100% |
1128
13.4 IPS |
|
|
Face Detection (Q)
|
95% |
2428
29.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
1110
8.58 IPS |
|
|
Depth Estimation (HP)
|
99% |
1457
11.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
2650
24.3 IPS |
|
|
Style Transfer (SP)
|
89% |
3729
4.84 IPS |
|
|
Style Transfer (HP)
|
89% |
3606
4.68 IPS |
|
|
Style Transfer (Q)
|
98% |
7230
9.32 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
682
25.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
950
35.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1934
71.7 IPS |
|
|
Text Classification (SP)
|
100% |
324
432.6 IPS |
|
|
Text Classification (HP)
|
99% |
450
601.2 IPS |
|
|
Text Classification (Q)
|
88% |
713
962.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1090
18.8 IPS |
|
|
Machine Translation (HP)
|
100% |
466
8.03 IPS |
|
|
Machine Translation (Q)
|
50% |
500
17.8 IPS |
