Samsung Galaxy S23
Geekbench AI Score
1707
Single Precision Score
1730
Half Precision Score
2593
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 09 2025 02:50 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-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% |
1529
284.4 IPS |
|
|
Image Classification (HP)
|
100% |
1676
311.7 IPS |
|
|
Image Classification (Q)
|
100% |
2414
448.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1625
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1693
27.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2625
42.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2328
2.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
2420
2.82 IPS |
|
|
Pose Estimation (Q)
|
84% |
5607
6.65 IPS |
|
|
Object Detection (SP)
|
98% |
1285
102.2 IPS |
|
|
Object Detection (HP)
|
98% |
1241
98.7 IPS |
|
|
Object Detection (Q)
|
83% |
1799
145.3 IPS |
|
|
Face Detection (SP)
|
100% |
2510
29.8 IPS |
|
|
Face Detection (HP)
|
100% |
2518
29.9 IPS |
|
|
Face Detection (Q)
|
95% |
3999
47.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
2489
19.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2518
19.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
4010
36.7 IPS |
|
|
Style Transfer (SP)
|
89% |
5743
7.46 IPS |
|
|
Style Transfer (HP)
|
89% |
6109
7.93 IPS |
|
|
Style Transfer (Q)
|
98% |
11113
14.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1233
45.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1290
47.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2794
103.5 IPS |
|
|
Text Classification (SP)
|
100% |
527
703.7 IPS |
|
|
Text Classification (HP)
|
99% |
517
689.6 IPS |
|
|
Text Classification (Q)
|
88% |
889
1.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
1216
20.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1094
18.8 IPS |
|
|
Machine Translation (Q)
|
50% |
487
17.3 IPS |
