Samsung Galaxy S23 Plus
Geekbench AI Score
356
Single Precision Score
347
Half Precision Score
720
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | KDA |
| Upload Date | January 27 2025 12:36 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
286
53.1 IPS |
|
|
Image Classification (HP)
|
100% |
283
52.6 IPS |
|
|
Image Classification (Q)
|
99% |
643
119.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
350
5.67 IPS |
|
|
Image Segmentation (HP)
|
100% |
337
5.47 IPS |
|
|
Image Segmentation (Q)
|
98% |
646
10.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
461
0.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
373
0.44 IPS |
|
|
Pose Estimation (Q)
|
98% |
1312
1.54 IPS |
|
|
Object Detection (SP)
|
100% |
185
14.7 IPS |
|
|
Object Detection (HP)
|
100% |
187
14.8 IPS |
|
|
Object Detection (Q)
|
87% |
527
42.3 IPS |
|
|
Face Detection (SP)
|
100% |
509
6.05 IPS |
|
|
Face Detection (HP)
|
100% |
515
6.12 IPS |
|
|
Face Detection (Q)
|
97% |
1027
12.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
420
3.23 IPS |
|
|
Depth Estimation (HP)
|
99% |
421
3.25 IPS |
|
|
Depth Estimation (Q)
|
64% |
855
7.75 IPS |
|
|
Style Transfer (SP)
|
100% |
666
0.86 IPS |
|
|
Style Transfer (HP)
|
100% |
648
0.83 IPS |
|
|
Style Transfer (Q)
|
98% |
1592
2.05 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
217
8.00 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
216
7.98 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
743
27.5 IPS |
|
|
Text Classification (SP)
|
100% |
275
367.1 IPS |
|
|
Text Classification (HP)
|
100% |
276
368.3 IPS |
|
|
Text Classification (Q)
|
91% |
400
537.5 IPS |
|
|
Machine Translation (SP)
|
100% |
460
7.93 IPS |
|
|
Machine Translation (HP)
|
100% |
461
7.94 IPS |
|
|
Machine Translation (Q)
|
57% |
314
7.68 IPS |
