Samsung Galaxy S23 Plus
Geekbench AI Score
1262
Single Precision Score
2013
Half Precision Score
1597
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | jaxcoder |
| Upload Date | July 20 2025 07:55 PM |
| Views | 5 |
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% |
894
166.3 IPS |
|
|
Image Classification (HP)
|
100% |
1546
287.6 IPS |
|
|
Image Classification (Q)
|
99% |
1123
209.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2034
33.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3387
54.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2672
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7435
8.68 IPS |
|
|
Pose Estimation (HP)
|
99% |
12132
14.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
10036
11.8 IPS |
|
|
Object Detection (SP)
|
100% |
686
54.5 IPS |
|
|
Object Detection (HP)
|
99% |
1018
80.7 IPS |
|
|
Object Detection (Q)
|
82% |
953
77.2 IPS |
|
|
Face Detection (SP)
|
100% |
2657
31.6 IPS |
|
|
Face Detection (HP)
|
100% |
4427
52.6 IPS |
|
|
Face Detection (Q)
|
97% |
3603
43.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2826
21.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
4287
33.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
3440
32.3 IPS |
|
|
Style Transfer (SP)
|
100% |
7290
9.37 IPS |
|
|
Style Transfer (HP)
|
100% |
14912
19.2 IPS |
|
|
Style Transfer (Q)
|
98% |
14824
19.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1282
47.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2134
78.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2143
79.4 IPS |
|
|
Text Classification (SP)
|
35% |
28
271.0 IPS |
|
|
Text Classification (HP)
|
35% |
41
369.4 IPS |
|
|
Text Classification (Q)
|
35% |
40
392.7 IPS |
|
|
Machine Translation (SP)
|
100% |
563
9.70 IPS |
|
|
Machine Translation (HP)
|
97% |
685
11.8 IPS |
|
|
Machine Translation (Q)
|
49% |
240
9.03 IPS |
