Samsung Galaxy S24 Ultra
Geekbench AI Score
1139
Single Precision Score
1535
Half Precision Score
1455
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 16 2025 04:50 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
865
160.8 IPS |
|
|
Image Classification (HP)
|
100% |
777
144.5 IPS |
|
|
Image Classification (Q)
|
96% |
563
105.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1356
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1224
19.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1064
17.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1123
1.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
2752
3.21 IPS |
|
|
Pose Estimation (Q)
|
96% |
2432
2.85 IPS |
|
|
Object Detection (SP)
|
100% |
662
52.5 IPS |
|
|
Object Detection (HP)
|
100% |
804
63.7 IPS |
|
|
Object Detection (Q)
|
87% |
811
65.1 IPS |
|
|
Face Detection (SP)
|
100% |
2213
26.3 IPS |
|
|
Face Detection (HP)
|
100% |
1858
22.1 IPS |
|
|
Face Detection (Q)
|
97% |
1892
22.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1904
14.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3959
30.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
3266
30.3 IPS |
|
|
Style Transfer (SP)
|
100% |
7385
9.49 IPS |
|
|
Style Transfer (HP)
|
100% |
10827
13.9 IPS |
|
|
Style Transfer (Q)
|
98% |
9956
12.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
425
15.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1368
50.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1357
50.3 IPS |
|
|
Text Classification (SP)
|
100% |
450
600.3 IPS |
|
|
Text Classification (HP)
|
100% |
451
601.5 IPS |
|
|
Text Classification (Q)
|
91% |
731
982.5 IPS |
|
|
Machine Translation (SP)
|
100% |
714
12.3 IPS |
|
|
Machine Translation (HP)
|
100% |
706
12.2 IPS |
|
|
Machine Translation (Q)
|
57% |
592
14.5 IPS |
