Samsung Galaxy S23
Geekbench AI Score
851
Single Precision Score
769
Half Precision Score
1255
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | September 03 2025 04:06 PM |
| Views | 2 |
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% |
915
170.1 IPS |
|
|
Image Classification (HP)
|
100% |
379
70.4 IPS |
|
|
Image Classification (Q)
|
100% |
1083
201.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
443
7.18 IPS |
|
|
Image Segmentation (HP)
|
100% |
696
11.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1472
23.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1493
1.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
1586
1.85 IPS |
|
|
Pose Estimation (Q)
|
84% |
2523
2.99 IPS |
|
|
Object Detection (SP)
|
98% |
622
49.5 IPS |
|
|
Object Detection (HP)
|
98% |
549
43.7 IPS |
|
|
Object Detection (Q)
|
83% |
826
66.7 IPS |
|
|
Face Detection (SP)
|
100% |
920
10.9 IPS |
|
|
Face Detection (HP)
|
100% |
731
8.69 IPS |
|
|
Face Detection (Q)
|
95% |
1795
21.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
1078
8.33 IPS |
|
|
Depth Estimation (HP)
|
99% |
1366
10.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
1969
18.0 IPS |
|
|
Style Transfer (SP)
|
89% |
2946
3.82 IPS |
|
|
Style Transfer (HP)
|
89% |
2851
3.70 IPS |
|
|
Style Transfer (Q)
|
98% |
5291
6.82 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
743
27.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
768
28.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1165
43.2 IPS |
|
|
Text Classification (SP)
|
100% |
292
389.6 IPS |
|
|
Text Classification (HP)
|
99% |
240
321.0 IPS |
|
|
Text Classification (Q)
|
88% |
419
565.1 IPS |
|
|
Machine Translation (SP)
|
100% |
842
14.5 IPS |
|
|
Machine Translation (HP)
|
100% |
604
10.4 IPS |
|
|
Machine Translation (Q)
|
50% |
321
11.4 IPS |
