Samsung Galaxy S23
Geekbench AI Score
1605
Single Precision Score
1596
Half Precision Score
2337
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 27 2025 10:25 PM |
| Views | 1 |
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-S911U1 |
| 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% |
1557
289.5 IPS |
|
|
Image Classification (HP)
|
100% |
1544
287.0 IPS |
|
|
Image Classification (Q)
|
100% |
2352
437.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1653
26.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1730
28.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2353
38.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2559
2.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
2401
2.80 IPS |
|
|
Pose Estimation (Q)
|
84% |
5191
6.16 IPS |
|
|
Object Detection (SP)
|
98% |
1105
87.9 IPS |
|
|
Object Detection (HP)
|
98% |
1100
87.5 IPS |
|
|
Object Detection (Q)
|
83% |
1444
116.6 IPS |
|
|
Face Detection (SP)
|
100% |
2203
26.2 IPS |
|
|
Face Detection (HP)
|
100% |
2201
26.2 IPS |
|
|
Face Detection (Q)
|
95% |
3376
40.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
2264
17.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2192
16.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
3516
32.2 IPS |
|
|
Style Transfer (SP)
|
89% |
5297
6.88 IPS |
|
|
Style Transfer (HP)
|
89% |
5293
6.87 IPS |
|
|
Style Transfer (Q)
|
98% |
9105
11.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1138
42.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1114
41.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2424
89.8 IPS |
|
|
Text Classification (SP)
|
100% |
487
650.7 IPS |
|
|
Text Classification (HP)
|
99% |
482
643.4 IPS |
|
|
Text Classification (Q)
|
88% |
812
1.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
1065
18.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1114
19.2 IPS |
|
|
Machine Translation (Q)
|
50% |
551
19.6 IPS |
