Samsung Galaxy S23 Plus
Geekbench AI Score
1706
Single Precision Score
1720
Half Precision Score
2501
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 09 2025 12:40 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
1708
317.6 IPS |
|
|
Image Classification (HP)
|
100% |
1626
302.3 IPS |
|
|
Image Classification (Q)
|
100% |
2685
499.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1794
29.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1830
29.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2617
42.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2752
3.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
2787
3.25 IPS |
|
|
Pose Estimation (Q)
|
84% |
5076
6.02 IPS |
|
|
Object Detection (SP)
|
98% |
1202
95.6 IPS |
|
|
Object Detection (HP)
|
98% |
1198
95.4 IPS |
|
|
Object Detection (Q)
|
83% |
1689
136.5 IPS |
|
|
Face Detection (SP)
|
100% |
2304
27.4 IPS |
|
|
Face Detection (HP)
|
100% |
2475
29.4 IPS |
|
|
Face Detection (Q)
|
95% |
3858
46.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
2409
18.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2289
17.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
3273
30.0 IPS |
|
|
Style Transfer (SP)
|
89% |
5746
7.46 IPS |
|
|
Style Transfer (HP)
|
89% |
5740
7.45 IPS |
|
|
Style Transfer (Q)
|
98% |
10231
13.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1106
40.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1221
45.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2619
97.1 IPS |
|
|
Text Classification (SP)
|
100% |
489
653.3 IPS |
|
|
Text Classification (HP)
|
99% |
489
653.4 IPS |
|
|
Text Classification (Q)
|
88% |
827
1.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
1200
20.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1180
20.3 IPS |
|
|
Machine Translation (Q)
|
50% |
569
20.2 IPS |
