Samsung Galaxy S23 Plus
Geekbench AI Score
390
Single Precision Score
16540
Half Precision Score
37108
Quantized Score
Geekbench AI 1.5.0-Beta1 Corporate for Android AArch64
Result Information
| Upload Date | September 02 2025 05:17 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-S916W |
| 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% |
229
42.6 IPS |
|
|
Image Classification (HP)
|
100% |
12834
2.39 KIPS |
|
|
Image Classification (Q)
|
97% |
32257
6.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
297
4.82 IPS |
|
|
Image Segmentation (HP)
|
100% |
7799
126.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
21798
354.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
423
0.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
72660
84.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
295698
346.1 IPS |
|
|
Object Detection (SP)
|
100% |
233
18.5 IPS |
|
|
Object Detection (HP)
|
100% |
12255
972.1 IPS |
|
|
Object Detection (Q)
|
86% |
13926
1.12 KIPS |
|
|
Face Detection (SP)
|
100% |
579
6.89 IPS |
|
|
Face Detection (HP)
|
100% |
25202
299.5 IPS |
|
|
Face Detection (Q)
|
97% |
85442
1.02 KIPS |
|
|
Depth Estimation (SP)
|
100% |
511
3.94 IPS |
|
|
Depth Estimation (HP)
|
99% |
45214
348.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
82475
772.3 IPS |
|
|
Style Transfer (SP)
|
100% |
831
1.07 IPS |
|
|
Style Transfer (HP)
|
98% |
60721
78.3 IPS |
|
|
Style Transfer (Q)
|
98% |
294544
379.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
271
10.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32745
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
82239
3.05 KIPS |
|
|
Text Classification (SP)
|
100% |
335
446.5 IPS |
|
|
Text Classification (HP)
|
100% |
2501
3.34 KIPS |
|
|
Text Classification (Q)
|
93% |
5517
7.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
555
9.55 IPS |
|
|
Machine Translation (HP)
|
100% |
3035
52.3 IPS |
|
|
Machine Translation (Q)
|
55% |
1816
47.6 IPS |
