Samsung Galaxy S23 Plus
Geekbench AI Score
398
Single Precision Score
16404
Half Precision Score
36942
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | ItoMeasured10 |
| Upload Date | June 21 2025 10:05 PM |
| Views | 2 |
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% |
270
50.1 IPS |
|
|
Image Classification (HP)
|
100% |
12755
2.37 KIPS |
|
|
Image Classification (Q)
|
97% |
31961
5.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
335
5.42 IPS |
|
|
Image Segmentation (HP)
|
100% |
7716
125.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
21003
341.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
416
0.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
71144
83.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
294221
344.4 IPS |
|
|
Object Detection (SP)
|
100% |
229
18.1 IPS |
|
|
Object Detection (HP)
|
100% |
12144
963.3 IPS |
|
|
Object Detection (Q)
|
86% |
13742
1.10 KIPS |
|
|
Face Detection (SP)
|
100% |
563
6.70 IPS |
|
|
Face Detection (HP)
|
100% |
25178
299.2 IPS |
|
|
Face Detection (Q)
|
97% |
86590
1.03 KIPS |
|
|
Depth Estimation (SP)
|
100% |
507
3.91 IPS |
|
|
Depth Estimation (HP)
|
99% |
45097
347.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
82193
769.6 IPS |
|
|
Style Transfer (SP)
|
100% |
820
1.05 IPS |
|
|
Style Transfer (HP)
|
98% |
60527
78.0 IPS |
|
|
Style Transfer (Q)
|
98% |
293833
378.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
272
10.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32664
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
82018
3.04 KIPS |
|
|
Text Classification (SP)
|
100% |
332
443.7 IPS |
|
|
Text Classification (HP)
|
100% |
2525
3.37 KIPS |
|
|
Text Classification (Q)
|
93% |
5604
7.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
554
9.53 IPS |
|
|
Machine Translation (HP)
|
100% |
2929
50.5 IPS |
|
|
Machine Translation (Q)
|
55% |
1815
47.6 IPS |
