Samsung Galaxy S23
Geekbench AI Score
739
Single Precision Score
590
Half Precision Score
1265
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 19 2025 11:03 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-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% |
901
167.5 IPS |
|
|
Image Classification (HP)
|
100% |
409
76.1 IPS |
|
|
Image Classification (Q)
|
100% |
1325
246.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
445
7.21 IPS |
|
|
Image Segmentation (HP)
|
100% |
456
7.39 IPS |
|
|
Image Segmentation (Q)
|
98% |
1648
26.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1775
2.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
1041
1.22 IPS |
|
|
Pose Estimation (Q)
|
84% |
2796
3.32 IPS |
|
|
Object Detection (SP)
|
98% |
599
47.6 IPS |
|
|
Object Detection (HP)
|
98% |
290
23.1 IPS |
|
|
Object Detection (Q)
|
83% |
824
66.6 IPS |
|
|
Face Detection (SP)
|
100% |
778
9.25 IPS |
|
|
Face Detection (HP)
|
100% |
671
7.98 IPS |
|
|
Face Detection (Q)
|
95% |
1714
20.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
966
7.46 IPS |
|
|
Depth Estimation (HP)
|
99% |
870
6.72 IPS |
|
|
Depth Estimation (Q)
|
64% |
1901
17.4 IPS |
|
|
Style Transfer (SP)
|
89% |
2232
2.90 IPS |
|
|
Style Transfer (HP)
|
89% |
2736
3.55 IPS |
|
|
Style Transfer (Q)
|
98% |
4722
6.09 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
506
18.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
550
20.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1252
46.4 IPS |
|
|
Text Classification (SP)
|
100% |
228
304.3 IPS |
|
|
Text Classification (HP)
|
99% |
228
304.6 IPS |
|
|
Text Classification (Q)
|
88% |
344
463.6 IPS |
|
|
Machine Translation (SP)
|
100% |
589
10.1 IPS |
|
|
Machine Translation (HP)
|
100% |
454
7.82 IPS |
|
|
Machine Translation (Q)
|
50% |
316
11.2 IPS |
