Samsung Galaxy S23 Ultra
Geekbench AI Score
633
Single Precision Score
560
Half Precision Score
1318
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | linuxid10t |
| Upload Date | January 13 2025 12:18 AM |
| Views | 21 |
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% |
246
45.7 IPS |
|
|
Image Classification (HP)
|
100% |
246
45.7 IPS |
|
|
Image Classification (Q)
|
100% |
1041
193.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
451
7.30 IPS |
|
|
Image Segmentation (HP)
|
100% |
327
5.30 IPS |
|
|
Image Segmentation (Q)
|
98% |
1114
18.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1628
1.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
1341
1.57 IPS |
|
|
Pose Estimation (Q)
|
84% |
2849
3.38 IPS |
|
|
Object Detection (SP)
|
98% |
372
29.6 IPS |
|
|
Object Detection (HP)
|
98% |
319
25.4 IPS |
|
|
Object Detection (Q)
|
83% |
1103
89.1 IPS |
|
|
Face Detection (SP)
|
100% |
1268
15.1 IPS |
|
|
Face Detection (HP)
|
100% |
852
10.1 IPS |
|
|
Face Detection (Q)
|
95% |
1936
23.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
959
7.41 IPS |
|
|
Depth Estimation (HP)
|
99% |
900
6.96 IPS |
|
|
Depth Estimation (Q)
|
64% |
2033
18.6 IPS |
|
|
Style Transfer (SP)
|
89% |
2145
2.78 IPS |
|
|
Style Transfer (HP)
|
89% |
1996
2.59 IPS |
|
|
Style Transfer (Q)
|
98% |
6358
8.20 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
551
20.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
501
18.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1189
44.1 IPS |
|
|
Text Classification (SP)
|
100% |
231
308.2 IPS |
|
|
Text Classification (HP)
|
99% |
260
347.5 IPS |
|
|
Text Classification (Q)
|
88% |
469
632.7 IPS |
|
|
Machine Translation (SP)
|
100% |
468
8.05 IPS |
|
|
Machine Translation (HP)
|
100% |
448
7.72 IPS |
|
|
Machine Translation (Q)
|
50% |
313
11.1 IPS |
