Samsung Galaxy S23
Geekbench AI Score
949
Single Precision Score
772
Half Precision Score
1476
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | inertia_xp |
| Upload Date | January 22 2025 07:39 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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 | 6.89 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
949
176.5 IPS |
|
|
Image Classification (HP)
|
100% |
716
133.2 IPS |
|
|
Image Classification (Q)
|
100% |
1972
366.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
732
11.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
707
11.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1461
23.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2486
2.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
1608
1.88 IPS |
|
|
Pose Estimation (Q)
|
84% |
2328
2.76 IPS |
|
|
Object Detection (SP)
|
98% |
563
44.8 IPS |
|
|
Object Detection (HP)
|
98% |
398
31.7 IPS |
|
|
Object Detection (Q)
|
83% |
1295
104.6 IPS |
|
|
Face Detection (SP)
|
100% |
999
11.9 IPS |
|
|
Face Detection (HP)
|
100% |
816
9.70 IPS |
|
|
Face Detection (Q)
|
95% |
2137
25.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
1398
10.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1372
10.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
2014
18.4 IPS |
|
|
Style Transfer (SP)
|
89% |
2971
3.86 IPS |
|
|
Style Transfer (HP)
|
89% |
2950
3.83 IPS |
|
|
Style Transfer (Q)
|
98% |
4486
5.78 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
681
25.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
684
25.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1478
54.8 IPS |
|
|
Text Classification (SP)
|
100% |
342
456.9 IPS |
|
|
Text Classification (HP)
|
99% |
230
307.3 IPS |
|
|
Text Classification (Q)
|
88% |
563
759.0 IPS |
|
|
Machine Translation (SP)
|
100% |
633
10.9 IPS |
|
|
Machine Translation (HP)
|
100% |
447
7.70 IPS |
|
|
Machine Translation (Q)
|
50% |
354
12.6 IPS |
