Samsung Galaxy S24 Ultra
Geekbench AI Score
2140
Single Precision Score
2099
Half Precision Score
3187
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 21 2025 04:48 AM |
| Views | 1 |
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% |
1969
366.2 IPS |
|
|
Image Classification (HP)
|
100% |
1982
368.5 IPS |
|
|
Image Classification (Q)
|
100% |
2970
552.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2251
36.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2252
36.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3369
54.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3930
4.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
3452
4.03 IPS |
|
|
Pose Estimation (Q)
|
84% |
7911
9.38 IPS |
|
|
Object Detection (SP)
|
98% |
1670
132.9 IPS |
|
|
Object Detection (HP)
|
98% |
1436
114.3 IPS |
|
|
Object Detection (Q)
|
83% |
2069
167.2 IPS |
|
|
Face Detection (SP)
|
100% |
3257
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
2952
35.1 IPS |
|
|
Face Detection (Q)
|
95% |
4859
58.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
2999
23.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2848
22.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
4898
44.9 IPS |
|
|
Style Transfer (SP)
|
89% |
7519
9.76 IPS |
|
|
Style Transfer (HP)
|
89% |
7678
9.97 IPS |
|
|
Style Transfer (Q)
|
98% |
14591
18.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1389
51.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1388
51.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3549
131.5 IPS |
|
|
Text Classification (SP)
|
100% |
655
873.8 IPS |
|
|
Text Classification (HP)
|
99% |
657
876.7 IPS |
|
|
Text Classification (Q)
|
88% |
901
1.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
1039
17.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1278
22.0 IPS |
|
|
Machine Translation (Q)
|
50% |
596
21.2 IPS |
