Samsung Galaxy S23
Geekbench AI Score
889
Single Precision Score
798
Half Precision Score
1486
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 20 2025 06:07 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Samsung Galaxy S23 |
| Model ID | samsung SM-S911B |
| 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% |
702
130.5 IPS |
|
|
Image Classification (HP)
|
100% |
538
100.1 IPS |
|
|
Image Classification (Q)
|
100% |
1312
244.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
758
12.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
441
7.14 IPS |
|
|
Image Segmentation (Q)
|
98% |
1697
27.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2043
2.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
1362
1.59 IPS |
|
|
Pose Estimation (Q)
|
84% |
3487
4.14 IPS |
|
|
Object Detection (SP)
|
98% |
313
24.9 IPS |
|
|
Object Detection (HP)
|
98% |
562
44.7 IPS |
|
|
Object Detection (Q)
|
83% |
989
79.9 IPS |
|
|
Face Detection (SP)
|
100% |
1064
12.6 IPS |
|
|
Face Detection (HP)
|
100% |
1023
12.2 IPS |
|
|
Face Detection (Q)
|
95% |
2171
25.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
1431
11.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1403
10.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
1795
16.4 IPS |
|
|
Style Transfer (SP)
|
89% |
2872
3.73 IPS |
|
|
Style Transfer (HP)
|
89% |
2979
3.87 IPS |
|
|
Style Transfer (Q)
|
98% |
5302
6.84 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
678
25.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
680
25.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1491
55.3 IPS |
|
|
Text Classification (SP)
|
100% |
347
463.1 IPS |
|
|
Text Classification (HP)
|
99% |
315
421.0 IPS |
|
|
Text Classification (Q)
|
88% |
591
797.4 IPS |
|
|
Machine Translation (SP)
|
100% |
890
15.3 IPS |
|
|
Machine Translation (HP)
|
100% |
631
10.9 IPS |
|
|
Machine Translation (Q)
|
50% |
376
13.3 IPS |
