Samsung Galaxy S23 Plus
Geekbench AI Score
471
Single Precision Score
470
Half Precision Score
1040
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | ShowXTech |
| Upload Date | June 18 2025 04:26 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
299
55.6 IPS |
|
|
Image Classification (HP)
|
100% |
292
54.3 IPS |
|
|
Image Classification (Q)
|
99% |
742
138.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
366
5.93 IPS |
|
|
Image Segmentation (HP)
|
100% |
369
5.98 IPS |
|
|
Image Segmentation (Q)
|
98% |
744
12.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
493
0.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
491
0.57 IPS |
|
|
Pose Estimation (Q)
|
98% |
1945
2.28 IPS |
|
|
Object Detection (SP)
|
100% |
278
22.1 IPS |
|
|
Object Detection (HP)
|
100% |
279
22.1 IPS |
|
|
Object Detection (Q)
|
87% |
764
61.3 IPS |
|
|
Face Detection (SP)
|
100% |
673
8.00 IPS |
|
|
Face Detection (HP)
|
100% |
675
8.02 IPS |
|
|
Face Detection (Q)
|
97% |
1494
17.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
587
4.52 IPS |
|
|
Depth Estimation (HP)
|
99% |
592
4.56 IPS |
|
|
Depth Estimation (Q)
|
64% |
1367
12.4 IPS |
|
|
Style Transfer (SP)
|
100% |
967
1.24 IPS |
|
|
Style Transfer (HP)
|
100% |
974
1.25 IPS |
|
|
Style Transfer (Q)
|
98% |
2382
3.07 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
320
11.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
318
11.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1137
42.1 IPS |
|
|
Text Classification (SP)
|
100% |
444
593.1 IPS |
|
|
Text Classification (HP)
|
100% |
452
603.6 IPS |
|
|
Text Classification (Q)
|
91% |
645
866.8 IPS |
|
|
Machine Translation (SP)
|
100% |
661
11.4 IPS |
|
|
Machine Translation (HP)
|
100% |
647
11.1 IPS |
|
|
Machine Translation (Q)
|
57% |
509
12.4 IPS |
