Samsung Galaxy S23
Geekbench AI Score
835
Single Precision Score
816
Half Precision Score
1507
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 29 2024 01:15 AM |
| Views | 4 |
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-S9110 |
| 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% |
874
162.6 IPS |
|
|
Image Classification (HP)
|
100% |
698
129.9 IPS |
|
|
Image Classification (Q)
|
100% |
1593
296.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
433
7.02 IPS |
|
|
Image Segmentation (HP)
|
100% |
433
7.01 IPS |
|
|
Image Segmentation (Q)
|
98% |
1718
27.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1944
2.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
1456
1.70 IPS |
|
|
Pose Estimation (Q)
|
84% |
3018
3.58 IPS |
|
|
Object Detection (SP)
|
98% |
573
45.6 IPS |
|
|
Object Detection (HP)
|
98% |
563
44.8 IPS |
|
|
Object Detection (Q)
|
83% |
855
69.1 IPS |
|
|
Face Detection (SP)
|
100% |
1036
12.3 IPS |
|
|
Face Detection (HP)
|
100% |
993
11.8 IPS |
|
|
Face Detection (Q)
|
95% |
2116
25.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
1332
10.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1146
8.86 IPS |
|
|
Depth Estimation (Q)
|
64% |
2205
20.2 IPS |
|
|
Style Transfer (SP)
|
89% |
2889
3.75 IPS |
|
|
Style Transfer (HP)
|
89% |
2962
3.85 IPS |
|
|
Style Transfer (Q)
|
98% |
5235
6.75 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
490
18.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
676
25.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1476
54.7 IPS |
|
|
Text Classification (SP)
|
100% |
312
416.1 IPS |
|
|
Text Classification (HP)
|
99% |
347
463.2 IPS |
|
|
Text Classification (Q)
|
88% |
597
804.6 IPS |
|
|
Machine Translation (SP)
|
100% |
645
11.1 IPS |
|
|
Machine Translation (HP)
|
100% |
672
11.6 IPS |
|
|
Machine Translation (Q)
|
50% |
399
14.2 IPS |
