Samsung Galaxy S23
Geekbench AI Score
771
Single Precision Score
826
Half Precision Score
1210
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 29 2025 09:54 AM |
| Views | 2 |
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-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% |
554
103.1 IPS |
|
|
Image Classification (HP)
|
100% |
552
102.6 IPS |
|
|
Image Classification (Q)
|
100% |
820
152.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
612
9.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
612
9.93 IPS |
|
|
Image Segmentation (Q)
|
98% |
774
12.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1129
1.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
1466
1.71 IPS |
|
|
Pose Estimation (Q)
|
84% |
2825
3.35 IPS |
|
|
Object Detection (SP)
|
98% |
561
44.6 IPS |
|
|
Object Detection (HP)
|
98% |
560
44.6 IPS |
|
|
Object Detection (Q)
|
83% |
950
76.7 IPS |
|
|
Face Detection (SP)
|
100% |
997
11.9 IPS |
|
|
Face Detection (HP)
|
100% |
990
11.8 IPS |
|
|
Face Detection (Q)
|
95% |
2136
25.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
873
6.75 IPS |
|
|
Depth Estimation (HP)
|
99% |
1393
10.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
2035
18.6 IPS |
|
|
Style Transfer (SP)
|
89% |
2927
3.80 IPS |
|
|
Style Transfer (HP)
|
89% |
2874
3.73 IPS |
|
|
Style Transfer (Q)
|
98% |
4461
5.75 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
663
24.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
672
24.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1184
43.9 IPS |
|
|
Text Classification (SP)
|
100% |
316
421.5 IPS |
|
|
Text Classification (HP)
|
99% |
341
455.2 IPS |
|
|
Text Classification (Q)
|
88% |
567
765.0 IPS |
|
|
Machine Translation (SP)
|
100% |
649
11.2 IPS |
|
|
Machine Translation (HP)
|
100% |
588
10.1 IPS |
|
|
Machine Translation (Q)
|
50% |
305
10.8 IPS |
