Samsung Galaxy S23 Ultra
Geekbench AI Score
633
Single Precision Score
614
Half Precision Score
1091
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 02 2025 11:24 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 Ultra |
| Model ID | samsung SM-S918B |
| 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 | 10.79 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
548
101.9 IPS |
|
|
Image Classification (HP)
|
100% |
336
62.6 IPS |
|
|
Image Classification (Q)
|
100% |
1048
195.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
548
8.88 IPS |
|
|
Image Segmentation (HP)
|
100% |
543
8.80 IPS |
|
|
Image Segmentation (Q)
|
98% |
1031
16.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1469
1.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
1419
1.66 IPS |
|
|
Pose Estimation (Q)
|
84% |
2244
2.66 IPS |
|
|
Object Detection (SP)
|
98% |
421
33.5 IPS |
|
|
Object Detection (HP)
|
98% |
433
34.5 IPS |
|
|
Object Detection (Q)
|
83% |
641
51.8 IPS |
|
|
Face Detection (SP)
|
100% |
658
7.81 IPS |
|
|
Face Detection (HP)
|
100% |
665
7.90 IPS |
|
|
Face Detection (Q)
|
95% |
1444
17.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
1016
7.85 IPS |
|
|
Depth Estimation (HP)
|
99% |
748
5.78 IPS |
|
|
Depth Estimation (Q)
|
64% |
1600
14.7 IPS |
|
|
Style Transfer (SP)
|
89% |
2587
3.36 IPS |
|
|
Style Transfer (HP)
|
89% |
2573
3.34 IPS |
|
|
Style Transfer (Q)
|
98% |
5714
7.37 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
407
15.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
569
21.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1480
54.8 IPS |
|
|
Text Classification (SP)
|
100% |
238
318.1 IPS |
|
|
Text Classification (HP)
|
99% |
239
319.5 IPS |
|
|
Text Classification (Q)
|
88% |
385
519.4 IPS |
|
|
Machine Translation (SP)
|
100% |
335
5.77 IPS |
|
|
Machine Translation (HP)
|
100% |
395
6.80 IPS |
|
|
Machine Translation (Q)
|
50% |
205
7.29 IPS |
