Samsung Galaxy S24 Ultra
Geekbench AI Score
1851
Single Precision Score
1876
Half Precision Score
2721
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 08 2025 02:42 AM |
| Views | 1 |
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-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% |
1565
290.9 IPS |
|
|
Image Classification (HP)
|
100% |
1890
351.5 IPS |
|
|
Image Classification (Q)
|
100% |
2935
545.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2147
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2340
37.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3979
64.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3797
4.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
3317
3.87 IPS |
|
|
Pose Estimation (Q)
|
84% |
5828
6.91 IPS |
|
|
Object Detection (SP)
|
98% |
1250
99.5 IPS |
|
|
Object Detection (HP)
|
98% |
1104
87.9 IPS |
|
|
Object Detection (Q)
|
83% |
1788
144.4 IPS |
|
|
Face Detection (SP)
|
100% |
2610
31.0 IPS |
|
|
Face Detection (HP)
|
100% |
2629
31.2 IPS |
|
|
Face Detection (Q)
|
95% |
3791
45.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
2470
19.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2503
19.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
3839
35.2 IPS |
|
|
Style Transfer (SP)
|
89% |
6340
8.23 IPS |
|
|
Style Transfer (HP)
|
89% |
6448
8.37 IPS |
|
|
Style Transfer (Q)
|
98% |
12107
15.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1343
49.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1342
49.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2869
106.3 IPS |
|
|
Text Classification (SP)
|
100% |
528
705.0 IPS |
|
|
Text Classification (HP)
|
99% |
536
715.8 IPS |
|
|
Text Classification (Q)
|
88% |
745
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
1025
17.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1098
18.9 IPS |
|
|
Machine Translation (Q)
|
50% |
486
17.3 IPS |
