Samsung Galaxy S23 Plus
Geekbench AI Score
1510
Single Precision Score
2332
Half Precision Score
2079
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | September 03 2025 03:20 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Samsung Galaxy S23 Plus |
| Model ID | samsung SM-S916U1 |
| 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% |
964
179.3 IPS |
|
|
Image Classification (HP)
|
100% |
1342
249.6 IPS |
|
|
Image Classification (Q)
|
99% |
1246
232.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1938
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3647
59.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3096
50.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7444
8.69 IPS |
|
|
Pose Estimation (HP)
|
99% |
13538
15.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
13100
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
864
68.6 IPS |
|
|
Object Detection (HP)
|
99% |
1260
99.9 IPS |
|
|
Object Detection (Q)
|
82% |
1282
103.8 IPS |
|
|
Face Detection (SP)
|
100% |
3253
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
5502
65.4 IPS |
|
|
Face Detection (Q)
|
97% |
4059
48.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3866
29.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
5411
41.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
4349
40.8 IPS |
|
|
Style Transfer (SP)
|
100% |
9520
12.2 IPS |
|
|
Style Transfer (HP)
|
100% |
19758
25.4 IPS |
|
|
Style Transfer (Q)
|
98% |
19373
25.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2004
74.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2944
108.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2971
110.1 IPS |
|
|
Text Classification (SP)
|
35% |
36
353.0 IPS |
|
|
Text Classification (HP)
|
35% |
51
460.5 IPS |
|
|
Text Classification (Q)
|
35% |
58
560.9 IPS |
|
|
Machine Translation (SP)
|
100% |
595
10.2 IPS |
|
|
Machine Translation (HP)
|
97% |
647
11.2 IPS |
|
|
Machine Translation (Q)
|
49% |
396
14.9 IPS |
