Samsung Galaxy S23
Geekbench AI Score
419
Single Precision Score
415
Half Precision Score
880
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 24 2024 01:29 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy S23 |
| Model ID | samsung SM-S9110 |
| 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% |
290
54.0 IPS |
|
|
Image Classification (HP)
|
100% |
286
53.2 IPS |
|
|
Image Classification (Q)
|
99% |
709
132.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
352
5.71 IPS |
|
|
Image Segmentation (HP)
|
100% |
360
5.84 IPS |
|
|
Image Segmentation (Q)
|
98% |
737
12.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
484
0.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
404
0.47 IPS |
|
|
Pose Estimation (Q)
|
98% |
1583
1.85 IPS |
|
|
Object Detection (SP)
|
100% |
230
18.2 IPS |
|
|
Object Detection (HP)
|
100% |
240
19.1 IPS |
|
|
Object Detection (Q)
|
87% |
617
49.5 IPS |
|
|
Face Detection (SP)
|
100% |
595
7.07 IPS |
|
|
Face Detection (HP)
|
100% |
625
7.42 IPS |
|
|
Face Detection (Q)
|
97% |
1270
15.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
546
4.21 IPS |
|
|
Depth Estimation (HP)
|
99% |
536
4.13 IPS |
|
|
Depth Estimation (Q)
|
64% |
1171
10.6 IPS |
|
|
Style Transfer (SP)
|
100% |
833
1.07 IPS |
|
|
Style Transfer (HP)
|
100% |
794
1.02 IPS |
|
|
Style Transfer (Q)
|
98% |
1816
2.34 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
265
9.78 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
278
10.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
961
35.6 IPS |
|
|
Text Classification (SP)
|
100% |
353
471.0 IPS |
|
|
Text Classification (HP)
|
100% |
353
471.5 IPS |
|
|
Text Classification (Q)
|
91% |
508
683.1 IPS |
|
|
Machine Translation (SP)
|
100% |
588
10.1 IPS |
|
|
Machine Translation (HP)
|
100% |
588
10.1 IPS |
|
|
Machine Translation (Q)
|
57% |
416
10.2 IPS |
