Samsung Galaxy S23
Geekbench AI Score
1719
Single Precision Score
1714
Half Precision Score
2588
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 28 2025 04:29 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-S911N |
| 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% |
1782
331.4 IPS |
|
|
Image Classification (HP)
|
100% |
1690
314.3 IPS |
|
|
Image Classification (Q)
|
100% |
2617
486.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1783
28.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1654
26.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3022
49.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2682
3.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
2782
3.25 IPS |
|
|
Pose Estimation (Q)
|
84% |
6027
7.15 IPS |
|
|
Object Detection (SP)
|
98% |
1214
96.6 IPS |
|
|
Object Detection (HP)
|
98% |
1207
96.1 IPS |
|
|
Object Detection (Q)
|
83% |
1711
138.2 IPS |
|
|
Face Detection (SP)
|
100% |
2423
28.8 IPS |
|
|
Face Detection (HP)
|
100% |
2405
28.6 IPS |
|
|
Face Detection (Q)
|
95% |
3610
43.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
2333
18.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2429
18.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
3878
35.5 IPS |
|
|
Style Transfer (SP)
|
89% |
5751
7.47 IPS |
|
|
Style Transfer (HP)
|
89% |
5704
7.40 IPS |
|
|
Style Transfer (Q)
|
98% |
10480
13.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1197
44.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1246
46.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2649
98.1 IPS |
|
|
Text Classification (SP)
|
100% |
494
659.7 IPS |
|
|
Text Classification (HP)
|
99% |
495
660.1 IPS |
|
|
Text Classification (Q)
|
88% |
830
1.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
1135
19.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1140
19.6 IPS |
|
|
Machine Translation (Q)
|
50% |
513
18.2 IPS |
