Samsung Galaxy S24 Ultra
Geekbench AI Score
2575
Single Precision Score
2556
Half Precision Score
3843
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | June 30 2025 10:55 PM |
| Views | 4 |
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-S928U1 |
| 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% |
2450
455.6 IPS |
|
|
Image Classification (HP)
|
100% |
2394
445.3 IPS |
|
|
Image Classification (Q)
|
100% |
3547
659.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2722
44.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2673
43.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4467
72.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4409
5.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
4234
4.94 IPS |
|
|
Pose Estimation (Q)
|
84% |
8448
10.0 IPS |
|
|
Object Detection (SP)
|
98% |
1787
142.2 IPS |
|
|
Object Detection (HP)
|
98% |
1781
141.7 IPS |
|
|
Object Detection (Q)
|
83% |
2583
208.6 IPS |
|
|
Face Detection (SP)
|
100% |
3452
41.0 IPS |
|
|
Face Detection (HP)
|
100% |
3444
40.9 IPS |
|
|
Face Detection (Q)
|
95% |
5778
69.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
3735
28.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3742
28.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
5794
53.1 IPS |
|
|
Style Transfer (SP)
|
89% |
8759
11.4 IPS |
|
|
Style Transfer (HP)
|
89% |
8749
11.4 IPS |
|
|
Style Transfer (Q)
|
98% |
16675
21.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1804
66.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1844
68.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4156
154.0 IPS |
|
|
Text Classification (SP)
|
100% |
766
1.02 KIPS |
|
|
Text Classification (HP)
|
99% |
771
1.03 KIPS |
|
|
Text Classification (Q)
|
88% |
1176
1.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
1569
27.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1544
26.6 IPS |
|
|
Machine Translation (Q)
|
50% |
746
26.5 IPS |
