Samsung Galaxy S24 Ultra
Geekbench AI Score
2681
Single Precision Score
2730
Half Precision Score
3986
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 16 2025 02:49 PM |
| Views | 3 |
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% |
2428
451.4 IPS |
|
|
Image Classification (HP)
|
100% |
2473
459.9 IPS |
|
|
Image Classification (Q)
|
100% |
3892
723.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2822
45.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2842
46.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4426
72.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4631
5.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
4393
5.13 IPS |
|
|
Pose Estimation (Q)
|
84% |
7973
9.46 IPS |
|
|
Object Detection (SP)
|
98% |
1762
140.2 IPS |
|
|
Object Detection (HP)
|
98% |
2047
162.9 IPS |
|
|
Object Detection (Q)
|
83% |
2911
235.2 IPS |
|
|
Face Detection (SP)
|
100% |
3978
47.3 IPS |
|
|
Face Detection (HP)
|
100% |
4114
48.9 IPS |
|
|
Face Detection (Q)
|
95% |
6534
78.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
4009
31.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3994
30.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
7474
68.5 IPS |
|
|
Style Transfer (SP)
|
89% |
10820
14.0 IPS |
|
|
Style Transfer (HP)
|
89% |
10731
13.9 IPS |
|
|
Style Transfer (Q)
|
98% |
15864
20.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1692
62.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1710
63.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3965
146.9 IPS |
|
|
Text Classification (SP)
|
100% |
748
998.8 IPS |
|
|
Text Classification (HP)
|
99% |
744
993.4 IPS |
|
|
Text Classification (Q)
|
88% |
1131
1.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
1575
27.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1627
28.0 IPS |
|
|
Machine Translation (Q)
|
50% |
730
25.9 IPS |
