Samsung Galaxy S24 Ultra
Geekbench AI Score
3152
Single Precision Score
3119
Half Precision Score
4917
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 07 2025 11:34 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% |
2512
467.2 IPS |
|
|
Image Classification (HP)
|
100% |
2471
459.5 IPS |
|
|
Image Classification (Q)
|
100% |
3565
663.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2818
45.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2749
44.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4407
71.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4976
5.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
4780
5.58 IPS |
|
|
Pose Estimation (Q)
|
84% |
10736
12.7 IPS |
|
|
Object Detection (SP)
|
98% |
2383
189.7 IPS |
|
|
Object Detection (HP)
|
98% |
2407
191.5 IPS |
|
|
Object Detection (Q)
|
83% |
3726
301.0 IPS |
|
|
Face Detection (SP)
|
100% |
4737
56.3 IPS |
|
|
Face Detection (HP)
|
100% |
4738
56.3 IPS |
|
|
Face Detection (Q)
|
95% |
8025
95.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
4228
32.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4376
33.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
8068
73.9 IPS |
|
|
Style Transfer (SP)
|
89% |
11470
14.9 IPS |
|
|
Style Transfer (HP)
|
89% |
11262
14.6 IPS |
|
|
Style Transfer (Q)
|
98% |
21944
28.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2356
87.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2386
88.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5872
217.6 IPS |
|
|
Text Classification (SP)
|
100% |
1070
1.43 KIPS |
|
|
Text Classification (HP)
|
99% |
1050
1.40 KIPS |
|
|
Text Classification (Q)
|
88% |
1555
2.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
1993
34.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1906
32.8 IPS |
|
|
Machine Translation (Q)
|
50% |
1014
36.0 IPS |
