Samsung Galaxy S24 Ultra
Geekbench AI Score
2714
Single Precision Score
2702
Half Precision Score
4087
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 16 2025 02:59 PM |
| Views | 2 |
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% |
2481
461.4 IPS |
|
|
Image Classification (HP)
|
100% |
2327
432.8 IPS |
|
|
Image Classification (Q)
|
100% |
3886
722.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2837
46.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2843
46.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4333
70.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4581
5.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
4478
5.22 IPS |
|
|
Pose Estimation (Q)
|
84% |
10168
12.1 IPS |
|
|
Object Detection (SP)
|
98% |
2312
184.0 IPS |
|
|
Object Detection (HP)
|
98% |
2313
184.0 IPS |
|
|
Object Detection (Q)
|
83% |
3088
249.4 IPS |
|
|
Face Detection (SP)
|
100% |
4547
54.0 IPS |
|
|
Face Detection (HP)
|
100% |
4573
54.3 IPS |
|
|
Face Detection (Q)
|
95% |
7944
94.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
3329
25.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3303
25.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
5413
49.6 IPS |
|
|
Style Transfer (SP)
|
89% |
8571
11.1 IPS |
|
|
Style Transfer (HP)
|
89% |
8566
11.1 IPS |
|
|
Style Transfer (Q)
|
98% |
16131
20.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1800
66.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1849
68.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4270
158.2 IPS |
|
|
Text Classification (SP)
|
100% |
732
976.6 IPS |
|
|
Text Classification (HP)
|
99% |
743
991.5 IPS |
|
|
Text Classification (Q)
|
88% |
1036
1.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
1702
29.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1703
29.3 IPS |
|
|
Machine Translation (Q)
|
50% |
802
28.5 IPS |
