Samsung Galaxy S24 Ultra
Geekbench AI Score
1012
Single Precision Score
1571
Half Precision Score
1450
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 09 2025 07:22 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% |
436
81.2 IPS |
|
|
Image Classification (HP)
|
100% |
921
171.2 IPS |
|
|
Image Classification (Q)
|
96% |
566
105.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1149
18.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1156
18.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1063
17.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1109
1.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
2291
2.67 IPS |
|
|
Pose Estimation (Q)
|
96% |
2276
2.67 IPS |
|
|
Object Detection (SP)
|
100% |
665
52.7 IPS |
|
|
Object Detection (HP)
|
100% |
767
60.8 IPS |
|
|
Object Detection (Q)
|
87% |
809
64.9 IPS |
|
|
Face Detection (SP)
|
100% |
2097
24.9 IPS |
|
|
Face Detection (HP)
|
100% |
3126
37.1 IPS |
|
|
Face Detection (Q)
|
97% |
2319
27.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1727
13.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3654
28.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
2830
26.2 IPS |
|
|
Style Transfer (SP)
|
100% |
6127
7.88 IPS |
|
|
Style Transfer (HP)
|
100% |
10031
12.9 IPS |
|
|
Style Transfer (Q)
|
98% |
9919
12.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
427
15.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1345
49.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1315
48.7 IPS |
|
|
Text Classification (SP)
|
100% |
452
603.3 IPS |
|
|
Text Classification (HP)
|
100% |
453
605.1 IPS |
|
|
Text Classification (Q)
|
91% |
734
986.2 IPS |
|
|
Machine Translation (SP)
|
100% |
714
12.3 IPS |
|
|
Machine Translation (HP)
|
100% |
705
12.1 IPS |
|
|
Machine Translation (Q)
|
57% |
591
14.5 IPS |
