Samsung Galaxy S23
Geekbench AI Score
826
Single Precision Score
803
Half Precision Score
1219
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Deeepy |
| Upload Date | June 05 2025 06:26 AM |
| Views | 5 |
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-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% |
645
120.0 IPS |
|
|
Image Classification (HP)
|
100% |
655
121.8 IPS |
|
|
Image Classification (Q)
|
100% |
1001
186.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
719
11.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
467
7.57 IPS |
|
|
Image Segmentation (Q)
|
98% |
771
12.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1499
1.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
1584
1.85 IPS |
|
|
Pose Estimation (Q)
|
84% |
2876
3.41 IPS |
|
|
Object Detection (SP)
|
98% |
556
44.3 IPS |
|
|
Object Detection (HP)
|
98% |
559
44.5 IPS |
|
|
Object Detection (Q)
|
83% |
917
74.1 IPS |
|
|
Face Detection (SP)
|
100% |
918
10.9 IPS |
|
|
Face Detection (HP)
|
100% |
992
11.8 IPS |
|
|
Face Detection (Q)
|
95% |
1947
23.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
1249
9.65 IPS |
|
|
Depth Estimation (HP)
|
99% |
1221
9.43 IPS |
|
|
Depth Estimation (Q)
|
64% |
2027
18.6 IPS |
|
|
Style Transfer (SP)
|
89% |
2981
3.87 IPS |
|
|
Style Transfer (HP)
|
89% |
2979
3.87 IPS |
|
|
Style Transfer (Q)
|
98% |
5031
6.49 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
753
27.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
738
27.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1469
54.4 IPS |
|
|
Text Classification (SP)
|
100% |
243
324.1 IPS |
|
|
Text Classification (HP)
|
99% |
242
322.9 IPS |
|
|
Text Classification (Q)
|
88% |
399
538.7 IPS |
|
|
Machine Translation (SP)
|
100% |
612
10.5 IPS |
|
|
Machine Translation (HP)
|
100% |
643
11.1 IPS |
|
|
Machine Translation (Q)
|
50% |
306
10.9 IPS |
