Samsung Galaxy S24 Ultra
Geekbench AI Score
2712
Single Precision Score
2747
Half Precision Score
3992
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | andreicr1 |
| Upload Date | May 02 2025 03:52 PM |
| Views | 11 |
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% |
2032
377.9 IPS |
|
|
Image Classification (HP)
|
100% |
2442
454.2 IPS |
|
|
Image Classification (Q)
|
100% |
3544
659.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2720
44.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2683
43.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
4359
70.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4433
5.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
4292
5.01 IPS |
|
|
Pose Estimation (Q)
|
84% |
9983
11.8 IPS |
|
|
Object Detection (SP)
|
98% |
1923
153.0 IPS |
|
|
Object Detection (HP)
|
98% |
1941
154.4 IPS |
|
|
Object Detection (Q)
|
83% |
2183
176.3 IPS |
|
|
Face Detection (SP)
|
100% |
4063
48.3 IPS |
|
|
Face Detection (HP)
|
100% |
3929
46.7 IPS |
|
|
Face Detection (Q)
|
95% |
6848
81.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
4188
32.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4282
33.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
7164
65.6 IPS |
|
|
Style Transfer (SP)
|
89% |
10212
13.3 IPS |
|
|
Style Transfer (HP)
|
89% |
9806
12.7 IPS |
|
|
Style Transfer (Q)
|
98% |
19704
25.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1908
70.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1960
72.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4213
156.1 IPS |
|
|
Text Classification (SP)
|
100% |
808
1.08 KIPS |
|
|
Text Classification (HP)
|
99% |
814
1.09 KIPS |
|
|
Text Classification (Q)
|
88% |
1154
1.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
1709
29.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1704
29.3 IPS |
|
|
Machine Translation (Q)
|
50% |
651
23.1 IPS |
