Samsung Galaxy S24 Ultra
Geekbench AI Score
2455
Single Precision Score
2488
Half Precision Score
3761
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 14 2025 09:14 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
1534
285.2 IPS |
|
|
Image Classification (HP)
|
100% |
2177
404.8 IPS |
|
|
Image Classification (Q)
|
100% |
3532
656.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2758
44.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2692
43.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4468
72.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4415
5.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
3728
4.35 IPS |
|
|
Pose Estimation (Q)
|
84% |
8407
9.97 IPS |
|
|
Object Detection (SP)
|
98% |
1782
141.8 IPS |
|
|
Object Detection (HP)
|
98% |
1787
142.2 IPS |
|
|
Object Detection (Q)
|
83% |
2271
183.5 IPS |
|
|
Face Detection (SP)
|
100% |
3469
41.2 IPS |
|
|
Face Detection (HP)
|
100% |
3453
41.0 IPS |
|
|
Face Detection (Q)
|
95% |
5708
68.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
3632
28.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3518
27.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
5797
53.1 IPS |
|
|
Style Transfer (SP)
|
89% |
8754
11.4 IPS |
|
|
Style Transfer (HP)
|
89% |
8766
11.4 IPS |
|
|
Style Transfer (Q)
|
98% |
16721
21.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1801
66.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1843
68.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4249
157.5 IPS |
|
|
Text Classification (SP)
|
100% |
776
1.04 KIPS |
|
|
Text Classification (HP)
|
99% |
779
1.04 KIPS |
|
|
Text Classification (Q)
|
88% |
1077
1.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
1555
26.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1527
26.3 IPS |
|
|
Machine Translation (Q)
|
50% |
744
26.4 IPS |
