Samsung Galaxy S24 Ultra
Geekbench AI Score
1568
Single Precision Score
2508
Half Precision Score
2104
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 30 2025 11:54 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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 | 10.83 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
786
146.1 IPS |
|
|
Image Classification (HP)
|
100% |
1214
225.7 IPS |
|
|
Image Classification (Q)
|
100% |
1181
219.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2016
32.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3335
54.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3214
52.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7620
8.89 IPS |
|
|
Pose Estimation (HP)
|
99% |
13908
16.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
17769
20.8 IPS |
|
|
Object Detection (SP)
|
100% |
1199
95.1 IPS |
|
|
Object Detection (HP)
|
99% |
1814
143.8 IPS |
|
|
Object Detection (Q)
|
87% |
1742
139.9 IPS |
|
|
Face Detection (SP)
|
100% |
4158
49.4 IPS |
|
|
Face Detection (HP)
|
100% |
7390
87.8 IPS |
|
|
Face Detection (Q)
|
97% |
6147
73.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4157
32.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
8169
63.1 IPS |
|
|
Depth Estimation (Q)
|
61% |
5755
56.7 IPS |
|
|
Style Transfer (SP)
|
100% |
7511
9.66 IPS |
|
|
Style Transfer (HP)
|
100% |
16129
20.7 IPS |
|
|
Style Transfer (Q)
|
98% |
15635
20.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1654
61.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2685
99.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2663
98.7 IPS |
|
|
Text Classification (SP)
|
35% |
33
322.0 IPS |
|
|
Text Classification (HP)
|
35% |
47
429.2 IPS |
|
|
Text Classification (Q)
|
33% |
41
492.1 IPS |
|
|
Machine Translation (SP)
|
100% |
880
15.2 IPS |
|
|
Machine Translation (HP)
|
97% |
785
13.6 IPS |
|
|
Machine Translation (Q)
|
43% |
240
13.7 IPS |
