Samsung Galaxy S23 Plus
Geekbench AI Score
863
Single Precision Score
784
Half Precision Score
1413
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 17 2025 04:43 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
956
177.8 IPS |
|
|
Image Classification (HP)
|
100% |
703
130.7 IPS |
|
|
Image Classification (Q)
|
100% |
1534
285.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
441
7.15 IPS |
|
|
Image Segmentation (HP)
|
100% |
409
6.63 IPS |
|
|
Image Segmentation (Q)
|
98% |
1541
25.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1820
2.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
1462
1.71 IPS |
|
|
Pose Estimation (Q)
|
84% |
3081
3.65 IPS |
|
|
Object Detection (SP)
|
98% |
557
44.3 IPS |
|
|
Object Detection (HP)
|
98% |
515
41.0 IPS |
|
|
Object Detection (Q)
|
83% |
841
68.0 IPS |
|
|
Face Detection (SP)
|
100% |
997
11.8 IPS |
|
|
Face Detection (HP)
|
100% |
998
11.9 IPS |
|
|
Face Detection (Q)
|
95% |
2120
25.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
1468
11.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
882
6.81 IPS |
|
|
Depth Estimation (Q)
|
64% |
2068
18.9 IPS |
|
|
Style Transfer (SP)
|
89% |
2917
3.79 IPS |
|
|
Style Transfer (HP)
|
89% |
2983
3.87 IPS |
|
|
Style Transfer (Q)
|
98% |
5871
7.57 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
765
28.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
676
25.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1189
44.1 IPS |
|
|
Text Classification (SP)
|
100% |
248
331.0 IPS |
|
|
Text Classification (HP)
|
99% |
343
458.1 IPS |
|
|
Text Classification (Q)
|
88% |
480
646.8 IPS |
|
|
Machine Translation (SP)
|
100% |
668
11.5 IPS |
|
|
Machine Translation (HP)
|
100% |
674
11.6 IPS |
|
|
Machine Translation (Q)
|
50% |
354
12.6 IPS |
