Samsung Galaxy S23 Ultra
Geekbench AI Score
778
Single Precision Score
683
Half Precision Score
1564
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | 19jet54 |
| Upload Date | February 06 2025 11:21 PM |
| 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% |
403
74.9 IPS |
|
|
Image Classification (HP)
|
100% |
354
65.9 IPS |
|
|
Image Classification (Q)
|
100% |
1350
251.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
451
7.32 IPS |
|
|
Image Segmentation (HP)
|
100% |
436
7.07 IPS |
|
|
Image Segmentation (Q)
|
98% |
1032
16.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1984
2.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
1324
1.54 IPS |
|
|
Pose Estimation (Q)
|
84% |
4110
4.87 IPS |
|
|
Object Detection (SP)
|
98% |
374
29.7 IPS |
|
|
Object Detection (HP)
|
98% |
361
28.7 IPS |
|
|
Object Detection (Q)
|
83% |
1388
112.1 IPS |
|
|
Face Detection (SP)
|
100% |
1568
18.6 IPS |
|
|
Face Detection (HP)
|
100% |
753
8.95 IPS |
|
|
Face Detection (Q)
|
95% |
2118
25.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
1080
8.35 IPS |
|
|
Depth Estimation (HP)
|
99% |
1097
8.48 IPS |
|
|
Depth Estimation (Q)
|
64% |
3152
28.9 IPS |
|
|
Style Transfer (SP)
|
89% |
2530
3.28 IPS |
|
|
Style Transfer (HP)
|
89% |
2475
3.21 IPS |
|
|
Style Transfer (Q)
|
98% |
6177
7.97 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
604
22.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
679
25.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1498
55.5 IPS |
|
|
Text Classification (SP)
|
100% |
309
412.8 IPS |
|
|
Text Classification (HP)
|
99% |
290
386.9 IPS |
|
|
Text Classification (Q)
|
88% |
520
700.7 IPS |
|
|
Machine Translation (SP)
|
100% |
760
13.1 IPS |
|
|
Machine Translation (HP)
|
100% |
749
12.9 IPS |
|
|
Machine Translation (Q)
|
50% |
345
12.2 IPS |
