Samsung Galaxy S23 Plus
Geekbench AI Score
911
Single Precision Score
783
Half Precision Score
1545
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 15 2025 01:40 AM |
| Views | 1 |
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-S916N |
| 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% |
860
159.9 IPS |
|
|
Image Classification (HP)
|
100% |
596
110.9 IPS |
|
|
Image Classification (Q)
|
100% |
1400
260.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
435
7.06 IPS |
|
|
Image Segmentation (HP)
|
100% |
406
6.57 IPS |
|
|
Image Segmentation (Q)
|
98% |
1541
25.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2149
2.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
1573
1.84 IPS |
|
|
Pose Estimation (Q)
|
84% |
2850
3.38 IPS |
|
|
Object Detection (SP)
|
98% |
634
50.4 IPS |
|
|
Object Detection (HP)
|
98% |
571
45.5 IPS |
|
|
Object Detection (Q)
|
83% |
949
76.6 IPS |
|
|
Face Detection (SP)
|
100% |
904
10.7 IPS |
|
|
Face Detection (HP)
|
100% |
932
11.1 IPS |
|
|
Face Detection (Q)
|
95% |
2141
25.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
1368
10.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1090
8.42 IPS |
|
|
Depth Estimation (Q)
|
64% |
2731
25.0 IPS |
|
|
Style Transfer (SP)
|
89% |
3604
4.68 IPS |
|
|
Style Transfer (HP)
|
89% |
2208
2.87 IPS |
|
|
Style Transfer (Q)
|
98% |
6185
7.98 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
644
23.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
658
24.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1448
53.7 IPS |
|
|
Text Classification (SP)
|
100% |
343
457.3 IPS |
|
|
Text Classification (HP)
|
99% |
354
472.3 IPS |
|
|
Text Classification (Q)
|
88% |
601
810.3 IPS |
|
|
Machine Translation (SP)
|
100% |
791
13.6 IPS |
|
|
Machine Translation (HP)
|
100% |
772
13.3 IPS |
|
|
Machine Translation (Q)
|
50% |
423
15.0 IPS |
