Samsung Galaxy S24 Ultra
Geekbench AI Score
2484
Single Precision Score
2497
Half Precision Score
3813
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 09 2024 07:52 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-S928B |
| 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% |
2343
435.7 IPS |
|
|
Image Classification (HP)
|
100% |
2453
456.2 IPS |
|
|
Image Classification (Q)
|
100% |
3498
650.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2685
43.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2559
41.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
4325
70.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4207
4.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
4094
4.78 IPS |
|
|
Pose Estimation (Q)
|
84% |
8430
10.00 IPS |
|
|
Object Detection (SP)
|
98% |
1783
141.9 IPS |
|
|
Object Detection (HP)
|
98% |
1797
143.0 IPS |
|
|
Object Detection (Q)
|
83% |
2607
210.6 IPS |
|
|
Face Detection (SP)
|
100% |
3304
39.3 IPS |
|
|
Face Detection (HP)
|
100% |
3469
41.2 IPS |
|
|
Face Detection (Q)
|
95% |
5689
67.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
3485
26.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3454
26.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
5719
52.4 IPS |
|
|
Style Transfer (SP)
|
89% |
8772
11.4 IPS |
|
|
Style Transfer (HP)
|
89% |
8725
11.3 IPS |
|
|
Style Transfer (Q)
|
98% |
16531
21.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1700
62.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1781
65.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4137
153.3 IPS |
|
|
Text Classification (SP)
|
100% |
740
988.0 IPS |
|
|
Text Classification (HP)
|
99% |
720
960.5 IPS |
|
|
Text Classification (Q)
|
88% |
1186
1.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
1495
25.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1526
26.3 IPS |
|
|
Machine Translation (Q)
|
50% |
742
26.3 IPS |
