Samsung Galaxy S24 Ultra
Geekbench AI Score
2450
Single Precision Score
2403
Half Precision Score
3686
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 06 2025 01:06 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% |
2042
379.7 IPS |
|
|
Image Classification (HP)
|
100% |
2026
376.9 IPS |
|
|
Image Classification (Q)
|
100% |
3495
649.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2473
40.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2450
39.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4003
65.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4588
5.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
3597
4.20 IPS |
|
|
Pose Estimation (Q)
|
84% |
8295
9.84 IPS |
|
|
Object Detection (SP)
|
98% |
1540
122.6 IPS |
|
|
Object Detection (HP)
|
98% |
1797
143.0 IPS |
|
|
Object Detection (Q)
|
83% |
2494
201.5 IPS |
|
|
Face Detection (SP)
|
100% |
3389
40.3 IPS |
|
|
Face Detection (HP)
|
100% |
3491
41.5 IPS |
|
|
Face Detection (Q)
|
95% |
5686
67.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
3560
27.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4045
31.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
6322
57.9 IPS |
|
|
Style Transfer (SP)
|
89% |
9667
12.5 IPS |
|
|
Style Transfer (HP)
|
89% |
6392
8.30 IPS |
|
|
Style Transfer (Q)
|
98% |
16467
21.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1694
62.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1732
63.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4220
156.4 IPS |
|
|
Text Classification (SP)
|
100% |
747
996.6 IPS |
|
|
Text Classification (HP)
|
99% |
764
1.02 KIPS |
|
|
Text Classification (Q)
|
88% |
798
1.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
1481
25.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1680
28.9 IPS |
|
|
Machine Translation (Q)
|
50% |
803
28.5 IPS |
