Samsung Galaxy S24 Ultra
Geekbench AI Score
3084
Single Precision Score
3051
Half Precision Score
4888
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 16 2025 07:22 AM |
| Views | 8 |
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% |
2533
471.1 IPS |
|
|
Image Classification (HP)
|
100% |
2532
470.8 IPS |
|
|
Image Classification (Q)
|
100% |
3908
726.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2817
45.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2819
45.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4419
71.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4831
5.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
4608
5.38 IPS |
|
|
Pose Estimation (Q)
|
84% |
10547
12.5 IPS |
|
|
Object Detection (SP)
|
98% |
2331
185.5 IPS |
|
|
Object Detection (HP)
|
98% |
2347
186.8 IPS |
|
|
Object Detection (Q)
|
83% |
3635
293.6 IPS |
|
|
Face Detection (SP)
|
100% |
4444
52.8 IPS |
|
|
Face Detection (HP)
|
100% |
4530
53.8 IPS |
|
|
Face Detection (Q)
|
95% |
8098
96.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
4271
33.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
4250
32.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
7400
67.8 IPS |
|
|
Style Transfer (SP)
|
89% |
11148
14.5 IPS |
|
|
Style Transfer (HP)
|
89% |
11128
14.4 IPS |
|
|
Style Transfer (Q)
|
98% |
21260
27.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2202
81.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2248
83.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5554
205.8 IPS |
|
|
Text Classification (SP)
|
100% |
1078
1.44 KIPS |
|
|
Text Classification (HP)
|
99% |
1026
1.37 KIPS |
|
|
Text Classification (Q)
|
88% |
1696
2.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
1929
33.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1835
31.6 IPS |
|
|
Machine Translation (Q)
|
50% |
980
34.8 IPS |
