Samsung Galaxy S23 Plus
Geekbench AI Score
1726
Single Precision Score
1734
Half Precision Score
2543
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | KDA |
| Upload Date | January 27 2025 12:17 PM |
| Views | 3 |
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 Plus |
| Model ID | samsung SM-S916B |
| 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% |
1400
260.4 IPS |
|
|
Image Classification (HP)
|
100% |
1544
287.1 IPS |
|
|
Image Classification (Q)
|
100% |
2472
459.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1798
29.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1820
29.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2804
45.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2967
3.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
2876
3.36 IPS |
|
|
Pose Estimation (Q)
|
84% |
5164
6.12 IPS |
|
|
Object Detection (SP)
|
98% |
1200
95.5 IPS |
|
|
Object Detection (HP)
|
98% |
1207
96.0 IPS |
|
|
Object Detection (Q)
|
83% |
1693
136.7 IPS |
|
|
Face Detection (SP)
|
100% |
2290
27.2 IPS |
|
|
Face Detection (HP)
|
100% |
2411
28.7 IPS |
|
|
Face Detection (Q)
|
95% |
3731
44.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
2366
18.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2384
18.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
3739
34.2 IPS |
|
|
Style Transfer (SP)
|
89% |
5760
7.48 IPS |
|
|
Style Transfer (HP)
|
89% |
5706
7.41 IPS |
|
|
Style Transfer (Q)
|
98% |
10250
13.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1253
46.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1247
46.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2670
98.9 IPS |
|
|
Text Classification (SP)
|
100% |
535
714.2 IPS |
|
|
Text Classification (HP)
|
99% |
538
717.8 IPS |
|
|
Text Classification (Q)
|
88% |
837
1.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
1257
21.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1150
19.8 IPS |
|
|
Machine Translation (Q)
|
50% |
586
20.8 IPS |
