Samsung Galaxy S23 Ultra
Geekbench AI Score
717
Single Precision Score
675
Half Precision Score
1315
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 15 2025 12:43 PM |
| Views | 5 |
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-S918N |
| 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% |
894
166.2 IPS |
|
|
Image Classification (HP)
|
100% |
337
62.7 IPS |
|
|
Image Classification (Q)
|
100% |
1241
230.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
638
10.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
434
7.03 IPS |
|
|
Image Segmentation (Q)
|
98% |
1709
27.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2056
2.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
1554
1.81 IPS |
|
|
Pose Estimation (Q)
|
84% |
2581
3.06 IPS |
|
|
Object Detection (SP)
|
98% |
279
22.2 IPS |
|
|
Object Detection (HP)
|
98% |
327
26.1 IPS |
|
|
Object Detection (Q)
|
83% |
925
74.7 IPS |
|
|
Face Detection (SP)
|
100% |
773
9.19 IPS |
|
|
Face Detection (HP)
|
100% |
1022
12.1 IPS |
|
|
Face Detection (Q)
|
95% |
2054
24.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
984
7.60 IPS |
|
|
Depth Estimation (HP)
|
99% |
1175
9.08 IPS |
|
|
Depth Estimation (Q)
|
64% |
1660
15.2 IPS |
|
|
Style Transfer (SP)
|
89% |
2492
3.23 IPS |
|
|
Style Transfer (HP)
|
89% |
2262
2.94 IPS |
|
|
Style Transfer (Q)
|
98% |
5072
6.54 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
537
19.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
623
23.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1216
45.1 IPS |
|
|
Text Classification (SP)
|
100% |
252
337.0 IPS |
|
|
Text Classification (HP)
|
99% |
234
311.7 IPS |
|
|
Text Classification (Q)
|
88% |
459
619.1 IPS |
|
|
Machine Translation (SP)
|
100% |
430
7.41 IPS |
|
|
Machine Translation (HP)
|
100% |
673
11.6 IPS |
|
|
Machine Translation (Q)
|
50% |
317
11.3 IPS |
