Samsung Galaxy S24 Ultra
Geekbench AI Score
2166
Single Precision Score
2144
Half Precision Score
3250
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | curranc |
| Upload Date | April 29 2025 01:33 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
1848
343.6 IPS |
|
|
Image Classification (HP)
|
100% |
1884
350.4 IPS |
|
|
Image Classification (Q)
|
100% |
2486
462.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2061
33.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2041
33.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3037
49.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3555
4.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
3315
3.87 IPS |
|
|
Pose Estimation (Q)
|
84% |
7477
8.87 IPS |
|
|
Object Detection (SP)
|
98% |
1575
125.3 IPS |
|
|
Object Detection (HP)
|
98% |
1561
124.2 IPS |
|
|
Object Detection (Q)
|
83% |
2299
185.7 IPS |
|
|
Face Detection (SP)
|
100% |
3061
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
3116
37.0 IPS |
|
|
Face Detection (Q)
|
95% |
5051
60.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
3154
24.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3187
24.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
5142
47.1 IPS |
|
|
Style Transfer (SP)
|
89% |
7786
10.1 IPS |
|
|
Style Transfer (HP)
|
89% |
7684
9.98 IPS |
|
|
Style Transfer (Q)
|
98% |
14869
19.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1486
54.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1599
59.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3759
139.3 IPS |
|
|
Text Classification (SP)
|
100% |
687
916.9 IPS |
|
|
Text Classification (HP)
|
99% |
682
910.3 IPS |
|
|
Text Classification (Q)
|
88% |
1047
1.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
1392
24.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1243
21.4 IPS |
|
|
Machine Translation (Q)
|
50% |
668
23.7 IPS |
