Samsung Galaxy S23
Geekbench AI Score
885
Single Precision Score
791
Half Precision Score
1434
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 26 2024 09:43 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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 | 6.89 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
980
182.2 IPS |
|
|
Image Classification (HP)
|
100% |
703
130.7 IPS |
|
|
Image Classification (Q)
|
100% |
1643
305.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
456
7.39 IPS |
|
|
Image Segmentation (HP)
|
100% |
437
7.08 IPS |
|
|
Image Segmentation (Q)
|
98% |
1731
28.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1879
2.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
1279
1.49 IPS |
|
|
Pose Estimation (Q)
|
84% |
2892
3.43 IPS |
|
|
Object Detection (SP)
|
98% |
561
44.7 IPS |
|
|
Object Detection (HP)
|
98% |
562
44.7 IPS |
|
|
Object Detection (Q)
|
83% |
990
80.0 IPS |
|
|
Face Detection (SP)
|
100% |
1012
12.0 IPS |
|
|
Face Detection (HP)
|
100% |
754
8.96 IPS |
|
|
Face Detection (Q)
|
95% |
2148
25.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
1354
10.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1352
10.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
2226
20.4 IPS |
|
|
Style Transfer (SP)
|
89% |
2890
3.75 IPS |
|
|
Style Transfer (HP)
|
89% |
2990
3.88 IPS |
|
|
Style Transfer (Q)
|
98% |
4520
5.83 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
668
24.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
677
25.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1182
43.8 IPS |
|
|
Text Classification (SP)
|
100% |
253
337.5 IPS |
|
|
Text Classification (HP)
|
99% |
349
465.5 IPS |
|
|
Text Classification (Q)
|
88% |
527
711.4 IPS |
|
|
Machine Translation (SP)
|
100% |
935
16.1 IPS |
|
|
Machine Translation (HP)
|
100% |
610
10.5 IPS |
|
|
Machine Translation (Q)
|
50% |
337
12.0 IPS |
