Samsung Galaxy S23 Ultra
Geekbench AI Score
748
Single Precision Score
845
Half Precision Score
1422
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | gutermanjunior |
| Upload Date | June 08 2025 09:52 PM |
| Views | 4 |
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% |
293
54.5 IPS |
|
|
Image Classification (HP)
|
100% |
509
94.6 IPS |
|
|
Image Classification (Q)
|
100% |
1421
264.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
539
8.74 IPS |
|
|
Image Segmentation (HP)
|
100% |
696
11.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1504
24.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1770
2.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
1381
1.61 IPS |
|
|
Pose Estimation (Q)
|
84% |
2804
3.33 IPS |
|
|
Object Detection (SP)
|
98% |
546
43.5 IPS |
|
|
Object Detection (HP)
|
98% |
543
43.2 IPS |
|
|
Object Detection (Q)
|
83% |
1089
88.0 IPS |
|
|
Face Detection (SP)
|
100% |
927
11.0 IPS |
|
|
Face Detection (HP)
|
100% |
934
11.1 IPS |
|
|
Face Detection (Q)
|
95% |
2068
24.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
1083
8.37 IPS |
|
|
Depth Estimation (HP)
|
99% |
1288
9.95 IPS |
|
|
Depth Estimation (Q)
|
64% |
2190
20.1 IPS |
|
|
Style Transfer (SP)
|
89% |
2730
3.54 IPS |
|
|
Style Transfer (HP)
|
89% |
2756
3.58 IPS |
|
|
Style Transfer (Q)
|
98% |
4990
6.43 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
643
23.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
727
26.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
997
36.9 IPS |
|
|
Text Classification (SP)
|
100% |
348
464.6 IPS |
|
|
Text Classification (HP)
|
99% |
341
454.5 IPS |
|
|
Text Classification (Q)
|
88% |
603
813.6 IPS |
|
|
Machine Translation (SP)
|
100% |
587
10.1 IPS |
|
|
Machine Translation (HP)
|
100% |
853
14.7 IPS |
|
|
Machine Translation (Q)
|
50% |
382
13.6 IPS |
