Samsung Galaxy S23 Ultra
Geekbench AI Score
1545
Single Precision Score
1673
Half Precision Score
2368
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | Physicist |
| Upload Date | July 09 2025 09:28 PM |
| Views | 6 |
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-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 | 10.79 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1543
287.0 IPS |
|
|
Image Classification (HP)
|
100% |
1564
290.9 IPS |
|
|
Image Classification (Q)
|
100% |
2179
405.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1587
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1587
25.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2318
37.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2595
3.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
2696
3.15 IPS |
|
|
Pose Estimation (Q)
|
84% |
5189
6.15 IPS |
|
|
Object Detection (SP)
|
98% |
1214
96.6 IPS |
|
|
Object Detection (HP)
|
98% |
1208
96.1 IPS |
|
|
Object Detection (Q)
|
83% |
1633
131.9 IPS |
|
|
Face Detection (SP)
|
100% |
2367
28.1 IPS |
|
|
Face Detection (HP)
|
100% |
2376
28.2 IPS |
|
|
Face Detection (Q)
|
95% |
3729
44.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
2410
18.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2279
17.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
3426
31.4 IPS |
|
|
Style Transfer (SP)
|
89% |
5157
6.69 IPS |
|
|
Style Transfer (HP)
|
89% |
5561
7.22 IPS |
|
|
Style Transfer (Q)
|
98% |
9848
12.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1206
44.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1095
40.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2646
98.0 IPS |
|
|
Text Classification (SP)
|
100% |
496
662.0 IPS |
|
|
Text Classification (HP)
|
99% |
538
718.6 IPS |
|
|
Text Classification (Q)
|
88% |
655
882.7 IPS |
|
|
Machine Translation (SP)
|
100% |
572
9.85 IPS |
|
|
Machine Translation (HP)
|
100% |
1204
20.7 IPS |
|
|
Machine Translation (Q)
|
50% |
595
21.1 IPS |
