Samsung Galaxy S24 Ultra
Geekbench AI Score
3020
Single Precision Score
3069
Half Precision Score
4882
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 08 2025 09:27 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy S24 Ultra |
| Model ID | samsung SM-S928U1 |
| 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% |
2036
378.6 IPS |
|
|
Image Classification (HP)
|
100% |
2550
474.2 IPS |
|
|
Image Classification (Q)
|
100% |
3539
658.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2751
44.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2751
44.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4493
73.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4849
5.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
4696
5.48 IPS |
|
|
Pose Estimation (Q)
|
84% |
10779
12.8 IPS |
|
|
Object Detection (SP)
|
98% |
2164
172.2 IPS |
|
|
Object Detection (HP)
|
98% |
2348
186.8 IPS |
|
|
Object Detection (Q)
|
83% |
3304
266.9 IPS |
|
|
Face Detection (SP)
|
100% |
4590
54.5 IPS |
|
|
Face Detection (HP)
|
100% |
4490
53.4 IPS |
|
|
Face Detection (Q)
|
95% |
8303
99.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
4220
32.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4075
31.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
7961
72.9 IPS |
|
|
Style Transfer (SP)
|
89% |
10976
14.2 IPS |
|
|
Style Transfer (HP)
|
89% |
10942
14.2 IPS |
|
|
Style Transfer (Q)
|
98% |
22033
28.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2252
83.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2281
84.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5776
214.0 IPS |
|
|
Text Classification (SP)
|
100% |
1117
1.49 KIPS |
|
|
Text Classification (HP)
|
99% |
1118
1.49 KIPS |
|
|
Text Classification (Q)
|
88% |
1600
2.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
2014
34.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1879
32.4 IPS |
|
|
Machine Translation (Q)
|
50% |
1011
35.9 IPS |
