Samsung Galaxy S24 Ultra
Geekbench AI Score
1910
Single Precision Score
2091
Half Precision Score
2867
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | herrqless |
| Upload Date | August 17 2024 04:15 AM |
| Views | 7 |
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-S928B |
| 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 | 10.81 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1594
296.5 IPS |
|
|
Image Classification (HP)
|
100% |
1928
358.6 IPS |
|
|
Image Classification (Q)
|
100% |
2230
414.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2109
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2113
34.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3228
52.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3745
4.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
3742
4.37 IPS |
|
|
Pose Estimation (Q)
|
84% |
6686
7.93 IPS |
|
|
Object Detection (SP)
|
98% |
1122
89.3 IPS |
|
|
Object Detection (HP)
|
98% |
1527
121.5 IPS |
|
|
Object Detection (Q)
|
87% |
2003
160.9 IPS |
|
|
Face Detection (SP)
|
100% |
2076
24.7 IPS |
|
|
Face Detection (HP)
|
100% |
2794
33.2 IPS |
|
|
Face Detection (Q)
|
95% |
4257
50.8 IPS |
|
|
Depth Estimation (SP)
|
98% |
2762
21.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3084
23.8 IPS |
|
|
Depth Estimation (Q)
|
75% |
5593
45.3 IPS |
|
|
Style Transfer (SP)
|
89% |
7457
9.68 IPS |
|
|
Style Transfer (HP)
|
89% |
6689
8.68 IPS |
|
|
Style Transfer (Q)
|
98% |
12345
15.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1372
50.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1384
51.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3072
113.8 IPS |
|
|
Text Classification (SP)
|
100% |
573
764.3 IPS |
|
|
Text Classification (HP)
|
99% |
636
848.8 IPS |
|
|
Text Classification (Q)
|
88% |
664
896.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1361
23.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1357
23.4 IPS |
|
|
Machine Translation (Q)
|
50% |
651
23.1 IPS |
