Samsung Galaxy S23
Geekbench AI Score
1238
Single Precision Score
1283
Half Precision Score
1756
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 19 2024 03:43 AM |
| 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-S911U |
| 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% |
926
172.1 IPS |
|
|
Image Classification (HP)
|
100% |
876
162.8 IPS |
|
|
Image Classification (Q)
|
100% |
1209
224.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1047
17.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1103
17.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1573
25.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2114
2.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
2665
3.11 IPS |
|
|
Pose Estimation (Q)
|
84% |
4379
5.19 IPS |
|
|
Object Detection (SP)
|
98% |
1022
81.3 IPS |
|
|
Object Detection (HP)
|
98% |
1016
80.9 IPS |
|
|
Object Detection (Q)
|
83% |
1228
99.2 IPS |
|
|
Face Detection (SP)
|
100% |
2057
24.4 IPS |
|
|
Face Detection (HP)
|
100% |
2054
24.4 IPS |
|
|
Face Detection (Q)
|
95% |
3074
36.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
1788
13.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1797
13.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
2942
26.9 IPS |
|
|
Style Transfer (SP)
|
89% |
4542
5.90 IPS |
|
|
Style Transfer (HP)
|
89% |
4522
5.87 IPS |
|
|
Style Transfer (Q)
|
98% |
7179
9.26 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
849
31.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
890
32.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1841
68.2 IPS |
|
|
Text Classification (SP)
|
100% |
341
455.8 IPS |
|
|
Text Classification (HP)
|
99% |
340
454.1 IPS |
|
|
Text Classification (Q)
|
88% |
576
776.7 IPS |
|
|
Machine Translation (SP)
|
100% |
836
14.4 IPS |
|
|
Machine Translation (HP)
|
100% |
915
15.8 IPS |
|
|
Machine Translation (Q)
|
50% |
398
14.1 IPS |
