Samsung Galaxy S23
Geekbench AI Score
2223
Single Precision Score
2190
Half Precision Score
3589
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | PorywaczPiotrus |
| Upload Date | January 03 2026 04:26 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| 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 | 6.92 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1823
339.0 IPS |
|
|
Image Classification (HP)
|
100% |
1864
346.7 IPS |
|
|
Image Classification (Q)
|
100% |
2872
534.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2035
33.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1995
32.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3266
53.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2985
3.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
2875
3.35 IPS |
|
|
Pose Estimation (Q)
|
84% |
6946
8.24 IPS |
|
|
Object Detection (SP)
|
98% |
1663
132.4 IPS |
|
|
Object Detection (HP)
|
98% |
1664
132.4 IPS |
|
|
Object Detection (Q)
|
83% |
2610
210.8 IPS |
|
|
Face Detection (SP)
|
100% |
3236
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
3201
38.0 IPS |
|
|
Face Detection (Q)
|
95% |
5808
69.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
3243
25.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3268
25.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
5616
51.4 IPS |
|
|
Style Transfer (SP)
|
89% |
7381
9.58 IPS |
|
|
Style Transfer (HP)
|
89% |
7357
9.55 IPS |
|
|
Style Transfer (Q)
|
98% |
14690
18.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1679
62.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1536
56.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3934
145.8 IPS |
|
|
Text Classification (SP)
|
100% |
819
1.09 KIPS |
|
|
Text Classification (HP)
|
99% |
814
1.09 KIPS |
|
|
Text Classification (Q)
|
88% |
1414
1.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
1505
25.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1487
25.6 IPS |
|
|
Machine Translation (Q)
|
50% |
783
27.8 IPS |
