Samsung Galaxy S23 Ultra
Geekbench AI Score
921
Single Precision Score
779
Half Precision Score
1463
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | 19jet54 |
| Upload Date | February 15 2025 01:37 AM |
| Views | 3 |
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-S918U1 |
| 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% |
532
99.0 IPS |
|
|
Image Classification (HP)
|
100% |
415
77.2 IPS |
|
|
Image Classification (Q)
|
100% |
1512
281.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
641
10.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
432
7.00 IPS |
|
|
Image Segmentation (Q)
|
98% |
1719
27.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1779
2.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
1385
1.62 IPS |
|
|
Pose Estimation (Q)
|
84% |
2737
3.25 IPS |
|
|
Object Detection (SP)
|
98% |
533
42.4 IPS |
|
|
Object Detection (HP)
|
98% |
563
44.8 IPS |
|
|
Object Detection (Q)
|
83% |
1045
84.4 IPS |
|
|
Face Detection (SP)
|
100% |
1684
20.0 IPS |
|
|
Face Detection (HP)
|
100% |
925
11.0 IPS |
|
|
Face Detection (Q)
|
95% |
1611
19.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
1609
12.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1118
8.64 IPS |
|
|
Depth Estimation (Q)
|
64% |
2532
23.2 IPS |
|
|
Style Transfer (SP)
|
89% |
2807
3.64 IPS |
|
|
Style Transfer (HP)
|
89% |
2925
3.80 IPS |
|
|
Style Transfer (Q)
|
98% |
5092
6.57 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
545
20.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
757
28.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1180
43.7 IPS |
|
|
Text Classification (SP)
|
100% |
354
472.7 IPS |
|
|
Text Classification (HP)
|
99% |
351
468.7 IPS |
|
|
Text Classification (Q)
|
88% |
615
828.9 IPS |
|
|
Machine Translation (SP)
|
100% |
935
16.1 IPS |
|
|
Machine Translation (HP)
|
100% |
734
12.6 IPS |
|
|
Machine Translation (Q)
|
50% |
401
14.2 IPS |
