Samsung Galaxy S23 Plus
Geekbench AI Score
420
Single Precision Score
425
Half Precision Score
930
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | ItoMeasured10 |
| Upload Date | June 21 2025 09:46 PM |
| Views | 8 |
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% |
275
51.1 IPS |
|
|
Image Classification (HP)
|
100% |
286
53.2 IPS |
|
|
Image Classification (Q)
|
99% |
721
134.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
360
5.83 IPS |
|
|
Image Segmentation (HP)
|
100% |
368
5.97 IPS |
|
|
Image Segmentation (Q)
|
98% |
752
12.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
470
0.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
418
0.49 IPS |
|
|
Pose Estimation (Q)
|
98% |
1547
1.81 IPS |
|
|
Object Detection (SP)
|
100% |
226
17.9 IPS |
|
|
Object Detection (HP)
|
100% |
227
18.0 IPS |
|
|
Object Detection (Q)
|
87% |
587
47.1 IPS |
|
|
Face Detection (SP)
|
100% |
567
6.73 IPS |
|
|
Face Detection (HP)
|
100% |
571
6.79 IPS |
|
|
Face Detection (Q)
|
97% |
1155
13.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
509
3.92 IPS |
|
|
Depth Estimation (HP)
|
99% |
509
3.92 IPS |
|
|
Depth Estimation (Q)
|
64% |
1132
10.3 IPS |
|
|
Style Transfer (SP)
|
100% |
660
0.85 IPS |
|
|
Style Transfer (HP)
|
100% |
761
0.98 IPS |
|
|
Style Transfer (Q)
|
98% |
2103
2.71 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
311
11.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
313
11.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1138
42.2 IPS |
|
|
Text Classification (SP)
|
100% |
436
581.4 IPS |
|
|
Text Classification (HP)
|
100% |
437
583.6 IPS |
|
|
Text Classification (Q)
|
91% |
620
833.0 IPS |
|
|
Machine Translation (SP)
|
100% |
633
10.9 IPS |
|
|
Machine Translation (HP)
|
100% |
649
11.2 IPS |
|
|
Machine Translation (Q)
|
57% |
507
12.4 IPS |
