Samsung Galaxy S24 Ultra
Geekbench AI Score
2052
Single Precision Score
2049
Half Precision Score
2945
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | jeremymagan |
| Upload Date | May 15 2025 04:49 PM |
| Views | 3 |
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-S928U |
| 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% |
1907
354.6 IPS |
|
|
Image Classification (HP)
|
100% |
1960
364.5 IPS |
|
|
Image Classification (Q)
|
100% |
3123
580.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2370
38.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2092
33.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2763
44.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3481
4.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
3082
3.60 IPS |
|
|
Pose Estimation (Q)
|
84% |
6969
8.27 IPS |
|
|
Object Detection (SP)
|
98% |
1481
117.9 IPS |
|
|
Object Detection (HP)
|
98% |
1465
116.5 IPS |
|
|
Object Detection (Q)
|
83% |
1403
113.4 IPS |
|
|
Face Detection (SP)
|
100% |
2922
34.7 IPS |
|
|
Face Detection (HP)
|
100% |
2944
35.0 IPS |
|
|
Face Detection (Q)
|
95% |
4604
55.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
2968
22.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2865
22.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
4710
43.1 IPS |
|
|
Style Transfer (SP)
|
89% |
7460
9.68 IPS |
|
|
Style Transfer (HP)
|
89% |
7424
9.64 IPS |
|
|
Style Transfer (Q)
|
98% |
13925
18.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1440
53.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1424
52.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3459
128.2 IPS |
|
|
Text Classification (SP)
|
100% |
605
807.2 IPS |
|
|
Text Classification (HP)
|
99% |
636
848.2 IPS |
|
|
Text Classification (Q)
|
88% |
916
1.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
1012
17.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1246
21.5 IPS |
|
|
Machine Translation (Q)
|
50% |
610
21.7 IPS |
