Samsung Galaxy S23 Plus
Geekbench AI Score
795
Single Precision Score
711
Half Precision Score
1374
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 23 2025 08:25 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 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% |
874
162.6 IPS |
|
|
Image Classification (HP)
|
100% |
560
104.1 IPS |
|
|
Image Classification (Q)
|
100% |
1199
223.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
346
5.61 IPS |
|
|
Image Segmentation (HP)
|
100% |
342
5.55 IPS |
|
|
Image Segmentation (Q)
|
98% |
1313
21.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1777
2.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
1624
1.90 IPS |
|
|
Pose Estimation (Q)
|
84% |
2906
3.45 IPS |
|
|
Object Detection (SP)
|
98% |
288
23.0 IPS |
|
|
Object Detection (HP)
|
98% |
514
40.9 IPS |
|
|
Object Detection (Q)
|
83% |
983
79.4 IPS |
|
|
Face Detection (SP)
|
100% |
995
11.8 IPS |
|
|
Face Detection (HP)
|
100% |
983
11.7 IPS |
|
|
Face Detection (Q)
|
95% |
2125
25.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
1351
10.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
907
7.01 IPS |
|
|
Depth Estimation (Q)
|
64% |
2201
20.2 IPS |
|
|
Style Transfer (SP)
|
89% |
2913
3.78 IPS |
|
|
Style Transfer (HP)
|
89% |
1999
2.60 IPS |
|
|
Style Transfer (Q)
|
98% |
5257
6.78 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
556
20.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
552
20.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1186
43.9 IPS |
|
|
Text Classification (SP)
|
100% |
343
458.2 IPS |
|
|
Text Classification (HP)
|
99% |
346
462.2 IPS |
|
|
Text Classification (Q)
|
88% |
575
775.3 IPS |
|
|
Machine Translation (SP)
|
100% |
876
15.1 IPS |
|
|
Machine Translation (HP)
|
100% |
613
10.6 IPS |
|
|
Machine Translation (Q)
|
50% |
319
11.3 IPS |
