Samsung Galaxy S24 Ultra
Geekbench AI Score
2588
Single Precision Score
2621
Half Precision Score
3965
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 04 2025 12:47 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
2081
386.9 IPS |
|
|
Image Classification (HP)
|
100% |
2195
408.1 IPS |
|
|
Image Classification (Q)
|
100% |
3544
659.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2726
44.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2738
44.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4341
70.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4096
4.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
4017
4.69 IPS |
|
|
Pose Estimation (Q)
|
84% |
9587
11.4 IPS |
|
|
Object Detection (SP)
|
98% |
1990
158.4 IPS |
|
|
Object Detection (HP)
|
98% |
2181
173.5 IPS |
|
|
Object Detection (Q)
|
83% |
2994
241.9 IPS |
|
|
Face Detection (SP)
|
100% |
3850
45.8 IPS |
|
|
Face Detection (HP)
|
100% |
3950
46.9 IPS |
|
|
Face Detection (Q)
|
95% |
6576
78.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
4209
32.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4186
32.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
7076
64.8 IPS |
|
|
Style Transfer (SP)
|
89% |
9444
12.3 IPS |
|
|
Style Transfer (HP)
|
89% |
9502
12.3 IPS |
|
|
Style Transfer (Q)
|
98% |
15559
20.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1673
61.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1699
62.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4006
148.4 IPS |
|
|
Text Classification (SP)
|
100% |
738
985.4 IPS |
|
|
Text Classification (HP)
|
99% |
745
994.5 IPS |
|
|
Text Classification (Q)
|
88% |
1066
1.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
1545
26.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1464
25.2 IPS |
|
|
Machine Translation (Q)
|
50% |
704
25.0 IPS |
