Samsung Galaxy S24 Ultra
Geekbench AI Score
2126
Single Precision Score
3366
Half Precision Score
2672
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | September 02 2025 08:40 AM |
| Views | 4 |
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-S928N |
| 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% |
1165
216.6 IPS |
|
|
Image Classification (HP)
|
100% |
1770
329.2 IPS |
|
|
Image Classification (Q)
|
100% |
1828
340.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2901
47.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5124
83.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4421
71.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10823
12.6 IPS |
|
|
Pose Estimation (HP)
|
99% |
19030
22.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
16543
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
1070
84.9 IPS |
|
|
Object Detection (HP)
|
99% |
1864
147.8 IPS |
|
|
Object Detection (Q)
|
87% |
1734
139.3 IPS |
|
|
Face Detection (SP)
|
100% |
4617
54.9 IPS |
|
|
Face Detection (HP)
|
100% |
7843
93.2 IPS |
|
|
Face Detection (Q)
|
97% |
5924
70.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5797
44.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
8533
65.9 IPS |
|
|
Depth Estimation (Q)
|
61% |
6502
64.0 IPS |
|
|
Style Transfer (SP)
|
100% |
13458
17.3 IPS |
|
|
Style Transfer (HP)
|
100% |
26419
34.0 IPS |
|
|
Style Transfer (Q)
|
98% |
28952
37.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2969
109.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4712
174.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4788
177.4 IPS |
|
|
Text Classification (SP)
|
35% |
50
487.0 IPS |
|
|
Text Classification (HP)
|
35% |
72
651.8 IPS |
|
|
Text Classification (Q)
|
33% |
58
697.1 IPS |
|
|
Machine Translation (SP)
|
100% |
903
15.6 IPS |
|
|
Machine Translation (HP)
|
97% |
968
16.7 IPS |
|
|
Machine Translation (Q)
|
43% |
259
14.7 IPS |
