Samsung Galaxy S23 Plus
Geekbench AI Score
954
Single Precision Score
1393
Half Precision Score
1376
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | ItoMeasured10 |
| Upload Date | June 21 2025 09:22 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | 6.91 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
690
128.3 IPS |
|
|
Image Classification (HP)
|
100% |
1202
223.6 IPS |
|
|
Image Classification (Q)
|
96% |
1135
212.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1102
17.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1788
29.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1725
28.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
941
1.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
1431
1.67 IPS |
|
|
Pose Estimation (Q)
|
96% |
1413
1.66 IPS |
|
|
Object Detection (SP)
|
100% |
523
41.4 IPS |
|
|
Object Detection (HP)
|
100% |
845
67.0 IPS |
|
|
Object Detection (Q)
|
87% |
899
72.2 IPS |
|
|
Face Detection (SP)
|
100% |
2381
28.3 IPS |
|
|
Face Detection (HP)
|
100% |
3994
47.5 IPS |
|
|
Face Detection (Q)
|
97% |
3669
43.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1447
11.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2925
22.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
2399
22.2 IPS |
|
|
Style Transfer (SP)
|
100% |
3856
4.96 IPS |
|
|
Style Transfer (HP)
|
100% |
8707
11.2 IPS |
|
|
Style Transfer (Q)
|
98% |
8631
11.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
439
16.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
367
13.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
371
13.7 IPS |
|
|
Text Classification (SP)
|
100% |
442
589.8 IPS |
|
|
Text Classification (HP)
|
100% |
444
592.4 IPS |
|
|
Text Classification (Q)
|
91% |
685
921.0 IPS |
|
|
Machine Translation (SP)
|
100% |
648
11.2 IPS |
|
|
Machine Translation (HP)
|
100% |
640
11.0 IPS |
|
|
Machine Translation (Q)
|
57% |
508
12.4 IPS |
