Samsung Galaxy S23 Plus
Geekbench AI Score
879
Single Precision Score
799
Half Precision Score
1595
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 18 2025 12:58 PM |
| Views | 3 |
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-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% |
544
101.3 IPS |
|
|
Image Classification (HP)
|
100% |
686
127.7 IPS |
|
|
Image Classification (Q)
|
100% |
1561
290.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
655
10.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
433
7.01 IPS |
|
|
Image Segmentation (Q)
|
98% |
1743
28.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1939
2.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
1403
1.64 IPS |
|
|
Pose Estimation (Q)
|
84% |
2933
3.48 IPS |
|
|
Object Detection (SP)
|
98% |
718
57.1 IPS |
|
|
Object Detection (HP)
|
98% |
402
32.0 IPS |
|
|
Object Detection (Q)
|
83% |
1122
90.7 IPS |
|
|
Face Detection (SP)
|
100% |
1201
14.3 IPS |
|
|
Face Detection (HP)
|
100% |
1183
14.1 IPS |
|
|
Face Detection (Q)
|
95% |
2605
31.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
1401
10.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1015
7.84 IPS |
|
|
Depth Estimation (Q)
|
64% |
2333
21.4 IPS |
|
|
Style Transfer (SP)
|
89% |
2049
2.66 IPS |
|
|
Style Transfer (HP)
|
89% |
2898
3.76 IPS |
|
|
Style Transfer (Q)
|
98% |
5377
6.93 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
679
25.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
775
28.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1472
54.5 IPS |
|
|
Text Classification (SP)
|
100% |
353
471.2 IPS |
|
|
Text Classification (HP)
|
99% |
353
471.8 IPS |
|
|
Text Classification (Q)
|
88% |
605
816.1 IPS |
|
|
Machine Translation (SP)
|
100% |
677
11.7 IPS |
|
|
Machine Translation (HP)
|
100% |
668
11.5 IPS |
|
|
Machine Translation (Q)
|
50% |
409
14.5 IPS |
