Samsung Galaxy S23 Plus
Geekbench AI Score
425
Single Precision Score
16536
Half Precision Score
37421
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | meogrande |
| Upload Date | January 07 2025 09:55 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
257
47.7 IPS |
|
|
Image Classification (HP)
|
100% |
12811
2.38 KIPS |
|
|
Image Classification (Q)
|
97% |
32295
6.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
324
5.25 IPS |
|
|
Image Segmentation (HP)
|
100% |
7766
125.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
21806
354.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
459
0.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
72997
85.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
295839
346.3 IPS |
|
|
Object Detection (SP)
|
100% |
255
20.2 IPS |
|
|
Object Detection (HP)
|
100% |
12242
971.0 IPS |
|
|
Object Detection (Q)
|
86% |
13885
1.12 KIPS |
|
|
Face Detection (SP)
|
100% |
622
7.39 IPS |
|
|
Face Detection (HP)
|
100% |
25576
303.9 IPS |
|
|
Face Detection (Q)
|
97% |
89230
1.06 KIPS |
|
|
Depth Estimation (SP)
|
100% |
551
4.25 IPS |
|
|
Depth Estimation (HP)
|
99% |
45004
346.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
82330
770.9 IPS |
|
|
Style Transfer (SP)
|
100% |
894
1.15 IPS |
|
|
Style Transfer (HP)
|
98% |
60786
78.4 IPS |
|
|
Style Transfer (Q)
|
98% |
293808
378.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
298
11.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32710
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
82152
3.04 KIPS |
|
|
Text Classification (SP)
|
100% |
369
491.9 IPS |
|
|
Text Classification (HP)
|
100% |
2529
3.38 KIPS |
|
|
Text Classification (Q)
|
93% |
5653
7.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
596
10.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2972
51.2 IPS |
|
|
Machine Translation (Q)
|
55% |
1857
48.7 IPS |
