Samsung Galaxy S23
Geekbench AI Score
417
Single Precision Score
411
Half Precision Score
868
Quantized Score
Geekbench AI 1.6.0 Corporate for Android AArch64
Result Information
| Upload Date | December 02 2025 08:24 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Samsung Galaxy S23 |
| Model ID | samsung SM-S911W |
| 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% |
266
49.5 IPS |
|
|
Image Classification (HP)
|
100% |
271
50.4 IPS |
|
|
Image Classification (Q)
|
99% |
663
123.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
341
5.52 IPS |
|
|
Image Segmentation (HP)
|
100% |
346
5.61 IPS |
|
|
Image Segmentation (Q)
|
98% |
706
11.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
472
0.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
421
0.49 IPS |
|
|
Pose Estimation (Q)
|
98% |
1576
1.84 IPS |
|
|
Object Detection (SP)
|
100% |
241
19.1 IPS |
|
|
Object Detection (HP)
|
100% |
243
19.2 IPS |
|
|
Object Detection (Q)
|
87% |
622
49.9 IPS |
|
|
Face Detection (SP)
|
100% |
592
7.03 IPS |
|
|
Face Detection (HP)
|
100% |
600
7.13 IPS |
|
|
Face Detection (Q)
|
97% |
1209
14.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
523
4.03 IPS |
|
|
Depth Estimation (HP)
|
99% |
505
3.89 IPS |
|
|
Depth Estimation (Q)
|
64% |
1121
10.2 IPS |
|
|
Style Transfer (SP)
|
100% |
844
1.08 IPS |
|
|
Style Transfer (HP)
|
100% |
834
1.07 IPS |
|
|
Style Transfer (Q)
|
98% |
1905
2.46 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
279
10.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
264
9.77 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
960
35.6 IPS |
|
|
Text Classification (SP)
|
100% |
352
469.6 IPS |
|
|
Text Classification (HP)
|
100% |
370
494.5 IPS |
|
|
Text Classification (Q)
|
91% |
538
722.8 IPS |
|
|
Machine Translation (SP)
|
100% |
605
10.4 IPS |
|
|
Machine Translation (HP)
|
100% |
585
10.1 IPS |
|
|
Machine Translation (Q)
|
57% |
398
9.72 IPS |
