Samsung Galaxy S24 Ultra
Geekbench AI Score
1928
Single Precision Score
1861
Half Precision Score
2649
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 30 2025 11:57 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Samsung Galaxy S24 Ultra |
| Model ID | samsung SM-S928B |
| Motherboard | pineapple |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.26 GHz |
| Cluster 1 | 2 Cores @ 2.27 GHz |
| Cluster 2 | 2 Cores @ 2.96 GHz |
| Cluster 3 | 3 Cores @ 3.15 GHz |
| Cluster 4 | 1 Core @ 3.40 GHz |
| Memory Information | |
|---|---|
| Size | 10.83 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1916
356.3 IPS |
|
|
Image Classification (HP)
|
100% |
1679
312.2 IPS |
|
|
Image Classification (Q)
|
100% |
2854
530.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2083
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2190
35.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3535
57.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3717
4.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
2741
3.20 IPS |
|
|
Pose Estimation (Q)
|
84% |
6116
7.25 IPS |
|
|
Object Detection (SP)
|
98% |
1239
98.6 IPS |
|
|
Object Detection (HP)
|
98% |
1324
105.4 IPS |
|
|
Object Detection (Q)
|
83% |
1809
146.1 IPS |
|
|
Face Detection (SP)
|
100% |
2721
32.3 IPS |
|
|
Face Detection (HP)
|
100% |
2571
30.5 IPS |
|
|
Face Detection (Q)
|
95% |
4187
50.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
2559
19.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2703
20.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
4127
37.8 IPS |
|
|
Style Transfer (SP)
|
89% |
6591
8.56 IPS |
|
|
Style Transfer (HP)
|
89% |
6670
8.66 IPS |
|
|
Style Transfer (Q)
|
98% |
12398
16.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1426
52.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1168
43.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1554
57.6 IPS |
|
|
Text Classification (SP)
|
100% |
559
745.9 IPS |
|
|
Text Classification (HP)
|
99% |
561
749.0 IPS |
|
|
Text Classification (Q)
|
88% |
908
1.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
1058
18.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1233
21.2 IPS |
|
|
Machine Translation (Q)
|
50% |
506
17.9 IPS |
