Samsung Galaxy S23
Geekbench AI Score
2131
Single Precision Score
2128
Half Precision Score
3440
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 22 2025 09:02 PM |
| Views | 3 |
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% |
1655
307.9 IPS |
|
|
Image Classification (HP)
|
100% |
1859
345.7 IPS |
|
|
Image Classification (Q)
|
100% |
2862
532.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1969
31.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1997
32.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3015
49.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2976
3.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
2990
3.49 IPS |
|
|
Pose Estimation (Q)
|
84% |
6871
8.15 IPS |
|
|
Object Detection (SP)
|
98% |
1651
131.4 IPS |
|
|
Object Detection (HP)
|
98% |
1548
123.2 IPS |
|
|
Object Detection (Q)
|
83% |
2418
195.3 IPS |
|
|
Face Detection (SP)
|
100% |
3116
37.0 IPS |
|
|
Face Detection (HP)
|
100% |
3099
36.8 IPS |
|
|
Face Detection (Q)
|
95% |
5548
66.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
3055
23.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2969
22.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
5230
47.9 IPS |
|
|
Style Transfer (SP)
|
89% |
7149
9.28 IPS |
|
|
Style Transfer (HP)
|
89% |
7052
9.15 IPS |
|
|
Style Transfer (Q)
|
98% |
13836
17.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1507
55.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1462
54.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3726
138.1 IPS |
|
|
Text Classification (SP)
|
100% |
776
1.04 KIPS |
|
|
Text Classification (HP)
|
99% |
786
1.05 KIPS |
|
|
Text Classification (Q)
|
88% |
1432
1.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
1520
26.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1492
25.7 IPS |
|
|
Machine Translation (Q)
|
50% |
756
26.8 IPS |
