Samsung Galaxy S23 Plus
Geekbench AI Score
937
Single Precision Score
822
Half Precision Score
1541
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | der_eismann |
| Upload Date | February 24 2025 10:20 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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 | 6.89 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
725
134.9 IPS |
|
|
Image Classification (HP)
|
100% |
671
124.8 IPS |
|
|
Image Classification (Q)
|
100% |
1359
252.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
763
12.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
435
7.04 IPS |
|
|
Image Segmentation (Q)
|
98% |
1427
23.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1907
2.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
1871
2.18 IPS |
|
|
Pose Estimation (Q)
|
84% |
3522
4.18 IPS |
|
|
Object Detection (SP)
|
98% |
563
44.8 IPS |
|
|
Object Detection (HP)
|
98% |
563
44.8 IPS |
|
|
Object Detection (Q)
|
83% |
1116
90.1 IPS |
|
|
Face Detection (SP)
|
100% |
1300
15.4 IPS |
|
|
Face Detection (HP)
|
100% |
950
11.3 IPS |
|
|
Face Detection (Q)
|
95% |
2153
25.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
1191
9.20 IPS |
|
|
Depth Estimation (HP)
|
99% |
1003
7.75 IPS |
|
|
Depth Estimation (Q)
|
64% |
2403
22.0 IPS |
|
|
Style Transfer (SP)
|
89% |
2867
3.72 IPS |
|
|
Style Transfer (HP)
|
89% |
2880
3.74 IPS |
|
|
Style Transfer (Q)
|
98% |
6607
8.52 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
763
28.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
675
24.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1486
55.1 IPS |
|
|
Text Classification (SP)
|
100% |
316
422.4 IPS |
|
|
Text Classification (HP)
|
99% |
351
468.4 IPS |
|
|
Text Classification (Q)
|
88% |
502
676.7 IPS |
|
|
Machine Translation (SP)
|
100% |
822
14.2 IPS |
|
|
Machine Translation (HP)
|
100% |
706
12.2 IPS |
|
|
Machine Translation (Q)
|
50% |
390
13.8 IPS |
