Samsung Galaxy S24 Ultra
Geekbench AI Score
1849
Single Precision Score
1745
Half Precision Score
2560
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 06 2025 06:41 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Samsung Galaxy S24 Ultra |
| Model ID | samsung SM-S928U |
| 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% |
2279
423.9 IPS |
|
|
Image Classification (HP)
|
100% |
1866
347.1 IPS |
|
|
Image Classification (Q)
|
100% |
2760
513.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2479
40.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2444
39.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3836
62.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3984
4.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
2452
2.86 IPS |
|
|
Pose Estimation (Q)
|
84% |
5313
6.30 IPS |
|
|
Object Detection (SP)
|
98% |
1196
95.2 IPS |
|
|
Object Detection (HP)
|
98% |
1089
86.7 IPS |
|
|
Object Detection (Q)
|
83% |
1673
135.2 IPS |
|
|
Face Detection (SP)
|
100% |
2415
28.7 IPS |
|
|
Face Detection (HP)
|
100% |
2406
28.6 IPS |
|
|
Face Detection (Q)
|
95% |
3724
44.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
2478
19.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2492
19.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
3692
33.8 IPS |
|
|
Style Transfer (SP)
|
89% |
5910
7.67 IPS |
|
|
Style Transfer (HP)
|
89% |
5949
7.72 IPS |
|
|
Style Transfer (Q)
|
98% |
10813
13.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1171
43.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1227
45.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2665
98.7 IPS |
|
|
Text Classification (SP)
|
100% |
469
625.6 IPS |
|
|
Text Classification (HP)
|
99% |
461
615.2 IPS |
|
|
Text Classification (Q)
|
88% |
726
979.0 IPS |
|
|
Machine Translation (SP)
|
100% |
894
15.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1068
18.4 IPS |
|
|
Machine Translation (Q)
|
50% |
447
15.9 IPS |
