Samsung Galaxy S23 Plus
Geekbench AI Score
1732
Single Precision Score
1744
Half Precision Score
2566
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | ajebulon |
| Upload Date | November 27 2024 02:27 AM |
| Views | 7 |
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-S916N |
| 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% |
1594
296.5 IPS |
|
|
Image Classification (HP)
|
100% |
1806
335.9 IPS |
|
|
Image Classification (Q)
|
100% |
2668
496.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1977
32.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1789
29.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2834
46.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2239
2.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
2307
2.69 IPS |
|
|
Pose Estimation (Q)
|
84% |
5180
6.14 IPS |
|
|
Object Detection (SP)
|
98% |
1211
96.3 IPS |
|
|
Object Detection (HP)
|
98% |
1215
96.7 IPS |
|
|
Object Detection (Q)
|
83% |
1691
136.6 IPS |
|
|
Face Detection (SP)
|
100% |
2401
28.5 IPS |
|
|
Face Detection (HP)
|
100% |
2398
28.5 IPS |
|
|
Face Detection (Q)
|
95% |
3729
44.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
2456
19.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2461
19.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
3845
35.2 IPS |
|
|
Style Transfer (SP)
|
89% |
5720
7.42 IPS |
|
|
Style Transfer (HP)
|
89% |
5767
7.49 IPS |
|
|
Style Transfer (Q)
|
98% |
10212
13.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1247
46.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1273
47.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2662
98.6 IPS |
|
|
Text Classification (SP)
|
100% |
536
715.3 IPS |
|
|
Text Classification (HP)
|
99% |
537
716.1 IPS |
|
|
Text Classification (Q)
|
88% |
826
1.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
1262
21.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1238
21.3 IPS |
|
|
Machine Translation (Q)
|
50% |
582
20.6 IPS |
