Samsung Galaxy S24 Ultra
Geekbench AI Score
2670
Single Precision Score
2626
Half Precision Score
4133
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 31 2024 04:31 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy S24 Ultra |
| Model ID | samsung SM-S928U |
| 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% |
1970
366.4 IPS |
|
|
Image Classification (HP)
|
100% |
2457
456.9 IPS |
|
|
Image Classification (Q)
|
100% |
3373
627.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2742
44.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2727
44.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4395
71.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4635
5.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
4299
5.02 IPS |
|
|
Pose Estimation (Q)
|
84% |
9776
11.6 IPS |
|
|
Object Detection (SP)
|
98% |
2175
173.1 IPS |
|
|
Object Detection (HP)
|
98% |
1799
143.2 IPS |
|
|
Object Detection (Q)
|
83% |
3343
270.1 IPS |
|
|
Face Detection (SP)
|
100% |
3961
47.1 IPS |
|
|
Face Detection (HP)
|
100% |
4181
49.7 IPS |
|
|
Face Detection (Q)
|
95% |
7247
86.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
4020
31.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3689
28.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
5752
52.7 IPS |
|
|
Style Transfer (SP)
|
89% |
8825
11.5 IPS |
|
|
Style Transfer (HP)
|
89% |
8878
11.5 IPS |
|
|
Style Transfer (Q)
|
98% |
18089
23.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1948
71.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1939
71.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4247
157.4 IPS |
|
|
Text Classification (SP)
|
100% |
772
1.03 KIPS |
|
|
Text Classification (HP)
|
99% |
731
975.5 IPS |
|
|
Text Classification (Q)
|
88% |
1084
1.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1605
27.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1553
26.8 IPS |
|
|
Machine Translation (Q)
|
50% |
866
30.7 IPS |
