Samsung Galaxy S23 Plus
Geekbench AI Score
959
Single Precision Score
1315
Half Precision Score
1268
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 30 2025 05:20 PM |
| Views | 3 |
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-S916U |
| 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% |
671
124.7 IPS |
|
|
Image Classification (HP)
|
100% |
961
178.7 IPS |
|
|
Image Classification (Q)
|
96% |
877
163.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1298
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1981
32.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1777
28.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
970
1.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
1436
1.68 IPS |
|
|
Pose Estimation (Q)
|
96% |
1432
1.68 IPS |
|
|
Object Detection (SP)
|
100% |
511
40.5 IPS |
|
|
Object Detection (HP)
|
100% |
702
55.7 IPS |
|
|
Object Detection (Q)
|
87% |
843
67.7 IPS |
|
|
Face Detection (SP)
|
100% |
2233
26.5 IPS |
|
|
Face Detection (HP)
|
100% |
3134
37.2 IPS |
|
|
Face Detection (Q)
|
97% |
2523
30.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1514
11.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2893
22.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
2320
21.5 IPS |
|
|
Style Transfer (SP)
|
100% |
3655
4.70 IPS |
|
|
Style Transfer (HP)
|
100% |
8350
10.7 IPS |
|
|
Style Transfer (Q)
|
98% |
8254
10.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
435
16.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
377
13.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
359
13.3 IPS |
|
|
Text Classification (SP)
|
100% |
441
588.1 IPS |
|
|
Text Classification (HP)
|
100% |
441
589.2 IPS |
|
|
Text Classification (Q)
|
91% |
654
878.8 IPS |
|
|
Machine Translation (SP)
|
100% |
646
11.1 IPS |
|
|
Machine Translation (HP)
|
100% |
641
11.0 IPS |
|
|
Machine Translation (Q)
|
57% |
505
12.4 IPS |
