Samsung Galaxy S24 Ultra
Geekbench AI Score
502
Single Precision Score
497
Half Precision Score
1107
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 10 2025 03:29 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
311
57.8 IPS |
|
|
Image Classification (HP)
|
100% |
317
58.9 IPS |
|
|
Image Classification (Q)
|
99% |
823
153.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
402
6.52 IPS |
|
|
Image Segmentation (HP)
|
100% |
407
6.59 IPS |
|
|
Image Segmentation (Q)
|
98% |
820
13.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
559
0.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
545
0.64 IPS |
|
|
Pose Estimation (Q)
|
98% |
2096
2.45 IPS |
|
|
Object Detection (SP)
|
100% |
300
23.8 IPS |
|
|
Object Detection (HP)
|
100% |
302
23.9 IPS |
|
|
Object Detection (Q)
|
87% |
851
68.2 IPS |
|
|
Face Detection (SP)
|
100% |
751
8.92 IPS |
|
|
Face Detection (HP)
|
100% |
757
8.99 IPS |
|
|
Face Detection (Q)
|
97% |
1758
21.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
659
5.08 IPS |
|
|
Depth Estimation (HP)
|
99% |
657
5.06 IPS |
|
|
Depth Estimation (Q)
|
64% |
1547
14.0 IPS |
|
|
Style Transfer (SP)
|
100% |
1050
1.35 IPS |
|
|
Style Transfer (HP)
|
100% |
943
1.21 IPS |
|
|
Style Transfer (Q)
|
98% |
2345
3.02 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
350
12.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
351
13.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1035
38.4 IPS |
|
|
Text Classification (SP)
|
100% |
379
505.4 IPS |
|
|
Text Classification (HP)
|
100% |
379
505.7 IPS |
|
|
Text Classification (Q)
|
91% |
633
850.2 IPS |
|
|
Machine Translation (SP)
|
100% |
705
12.2 IPS |
|
|
Machine Translation (HP)
|
100% |
705
12.1 IPS |
|
|
Machine Translation (Q)
|
57% |
553
13.5 IPS |
