Samsung Galaxy S24 Ultra
Geekbench AI Score
1178
Single Precision Score
2020
Half Precision Score
1898
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 01 2025 07:20 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
735
136.8 IPS |
|
|
Image Classification (HP)
|
100% |
1122
208.7 IPS |
|
|
Image Classification (Q)
|
96% |
854
159.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1402
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2843
46.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2118
34.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1110
1.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
2518
2.94 IPS |
|
|
Pose Estimation (Q)
|
96% |
2498
2.93 IPS |
|
|
Object Detection (SP)
|
100% |
745
59.1 IPS |
|
|
Object Detection (HP)
|
100% |
1176
93.3 IPS |
|
|
Object Detection (Q)
|
87% |
1145
92.0 IPS |
|
|
Face Detection (SP)
|
100% |
2841
33.8 IPS |
|
|
Face Detection (HP)
|
100% |
4908
58.3 IPS |
|
|
Face Detection (Q)
|
97% |
4355
51.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1906
14.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4075
31.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
3365
31.2 IPS |
|
|
Style Transfer (SP)
|
100% |
6804
8.75 IPS |
|
|
Style Transfer (HP)
|
100% |
11100
14.3 IPS |
|
|
Style Transfer (Q)
|
98% |
11047
14.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
548
20.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1769
65.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1689
62.6 IPS |
|
|
Text Classification (SP)
|
100% |
439
585.9 IPS |
|
|
Text Classification (HP)
|
100% |
448
598.0 IPS |
|
|
Text Classification (Q)
|
91% |
729
979.7 IPS |
|
|
Machine Translation (SP)
|
100% |
687
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
682
11.7 IPS |
|
|
Machine Translation (Q)
|
57% |
590
14.4 IPS |
