Samsung Galaxy S23
Geekbench AI Score
825
Single Precision Score
748
Half Precision Score
1360
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Munshat9 |
| Upload Date | October 10 2025 10:49 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Samsung Galaxy S23 |
| Model ID | samsung SM-S911U1 |
| 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% |
1055
196.3 IPS |
|
|
Image Classification (HP)
|
100% |
539
100.2 IPS |
|
|
Image Classification (Q)
|
100% |
1481
275.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
658
10.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
657
10.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1659
27.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1790
2.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
1493
1.74 IPS |
|
|
Pose Estimation (Q)
|
84% |
2778
3.29 IPS |
|
|
Object Detection (SP)
|
98% |
508
40.4 IPS |
|
|
Object Detection (HP)
|
98% |
504
40.1 IPS |
|
|
Object Detection (Q)
|
83% |
1023
82.6 IPS |
|
|
Face Detection (SP)
|
100% |
995
11.8 IPS |
|
|
Face Detection (HP)
|
100% |
743
8.83 IPS |
|
|
Face Detection (Q)
|
95% |
2090
25.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
1167
9.02 IPS |
|
|
Depth Estimation (HP)
|
99% |
1209
9.35 IPS |
|
|
Depth Estimation (Q)
|
64% |
1608
14.7 IPS |
|
|
Style Transfer (SP)
|
89% |
2941
3.82 IPS |
|
|
Style Transfer (HP)
|
89% |
2933
3.81 IPS |
|
|
Style Transfer (Q)
|
98% |
4775
6.16 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
527
19.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
530
19.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1461
54.1 IPS |
|
|
Text Classification (SP)
|
100% |
237
315.9 IPS |
|
|
Text Classification (HP)
|
99% |
237
316.7 IPS |
|
|
Text Classification (Q)
|
88% |
428
577.8 IPS |
|
|
Machine Translation (SP)
|
100% |
547
9.42 IPS |
|
|
Machine Translation (HP)
|
100% |
630
10.9 IPS |
|
|
Machine Translation (Q)
|
50% |
309
11.0 IPS |
