Samsung Galaxy S23 Ultra
Geekbench AI Score
814
Single Precision Score
817
Half Precision Score
1464
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | GuilhermeAlmeida7- |
| Upload Date | April 09 2025 09:36 AM |
| 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 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 | 10.77 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
531
98.8 IPS |
|
|
Image Classification (HP)
|
100% |
534
99.2 IPS |
|
|
Image Classification (Q)
|
100% |
1486
276.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
582
9.44 IPS |
|
|
Image Segmentation (HP)
|
100% |
648
10.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1526
24.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1783
2.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
1777
2.07 IPS |
|
|
Pose Estimation (Q)
|
84% |
3365
3.99 IPS |
|
|
Object Detection (SP)
|
98% |
519
41.3 IPS |
|
|
Object Detection (HP)
|
98% |
415
33.1 IPS |
|
|
Object Detection (Q)
|
83% |
969
78.2 IPS |
|
|
Face Detection (SP)
|
100% |
994
11.8 IPS |
|
|
Face Detection (HP)
|
100% |
975
11.6 IPS |
|
|
Face Detection (Q)
|
95% |
2114
25.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
1180
9.12 IPS |
|
|
Depth Estimation (HP)
|
99% |
1227
9.48 IPS |
|
|
Depth Estimation (Q)
|
64% |
2460
22.5 IPS |
|
|
Style Transfer (SP)
|
89% |
3077
3.99 IPS |
|
|
Style Transfer (HP)
|
89% |
3022
3.92 IPS |
|
|
Style Transfer (Q)
|
98% |
5158
6.65 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
532
19.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
744
27.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1155
42.8 IPS |
|
|
Text Classification (SP)
|
100% |
346
461.9 IPS |
|
|
Text Classification (HP)
|
99% |
254
339.4 IPS |
|
|
Text Classification (Q)
|
88% |
448
603.8 IPS |
|
|
Machine Translation (SP)
|
100% |
677
11.7 IPS |
|
|
Machine Translation (HP)
|
100% |
767
13.2 IPS |
|
|
Machine Translation (Q)
|
50% |
441
15.6 IPS |
