Samsung Galaxy S23 Plus
Geekbench AI Score
480
Single Precision Score
16703
Half Precision Score
37765
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | ShowXTech |
| Upload Date | June 18 2025 05:12 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
314
58.5 IPS |
|
|
Image Classification (HP)
|
100% |
13289
2.47 KIPS |
|
|
Image Classification (Q)
|
97% |
32445
6.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
381
6.17 IPS |
|
|
Image Segmentation (HP)
|
100% |
7799
126.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
22013
357.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
495
0.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
72983
85.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
295803
346.2 IPS |
|
|
Object Detection (SP)
|
100% |
287
22.7 IPS |
|
|
Object Detection (HP)
|
100% |
12371
981.3 IPS |
|
|
Object Detection (Q)
|
86% |
14097
1.13 KIPS |
|
|
Face Detection (SP)
|
100% |
705
8.37 IPS |
|
|
Face Detection (HP)
|
100% |
25905
307.8 IPS |
|
|
Face Detection (Q)
|
97% |
92723
1.11 KIPS |
|
|
Depth Estimation (SP)
|
100% |
604
4.66 IPS |
|
|
Depth Estimation (HP)
|
99% |
45323
349.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
82737
774.7 IPS |
|
|
Style Transfer (SP)
|
100% |
976
1.25 IPS |
|
|
Style Transfer (HP)
|
98% |
60958
78.6 IPS |
|
|
Style Transfer (Q)
|
98% |
294796
380.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
324
12.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32753
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
82261
3.05 KIPS |
|
|
Text Classification (SP)
|
100% |
430
574.4 IPS |
|
|
Text Classification (HP)
|
100% |
2534
3.38 KIPS |
|
|
Text Classification (Q)
|
93% |
5671
7.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
671
11.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3041
52.4 IPS |
|
|
Machine Translation (Q)
|
55% |
1878
49.2 IPS |
