Samsung Galaxy S24 Ultra
Geekbench AI Score
1808
Single Precision Score
1823
Half Precision Score
2756
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 14 2025 07:47 PM |
| Views | 2 |
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% |
1434
266.6 IPS |
|
|
Image Classification (HP)
|
100% |
1729
321.5 IPS |
|
|
Image Classification (Q)
|
100% |
2308
429.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2045
33.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1927
31.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3261
53.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3156
3.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
2776
3.24 IPS |
|
|
Pose Estimation (Q)
|
84% |
5738
6.81 IPS |
|
|
Object Detection (SP)
|
98% |
1198
95.3 IPS |
|
|
Object Detection (HP)
|
98% |
1346
107.1 IPS |
|
|
Object Detection (Q)
|
83% |
1735
140.1 IPS |
|
|
Face Detection (SP)
|
100% |
2286
27.2 IPS |
|
|
Face Detection (HP)
|
100% |
2556
30.4 IPS |
|
|
Face Detection (Q)
|
95% |
4442
53.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
2645
20.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2446
18.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
4513
41.3 IPS |
|
|
Style Transfer (SP)
|
89% |
6734
8.74 IPS |
|
|
Style Transfer (HP)
|
89% |
6802
8.83 IPS |
|
|
Style Transfer (Q)
|
98% |
14045
18.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1298
47.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1254
46.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3063
113.5 IPS |
|
|
Text Classification (SP)
|
100% |
597
796.4 IPS |
|
|
Text Classification (HP)
|
99% |
561
748.9 IPS |
|
|
Text Classification (Q)
|
88% |
900
1.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
1069
18.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1094
18.8 IPS |
|
|
Machine Translation (Q)
|
50% |
436
15.5 IPS |
