Samsung Galaxy S24 Ultra
Geekbench AI Score
2456
Single Precision Score
2516
Half Precision Score
3784
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 20 2024 09:28 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-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% |
2043
380.0 IPS |
|
|
Image Classification (HP)
|
100% |
2289
425.7 IPS |
|
|
Image Classification (Q)
|
100% |
3425
636.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2748
44.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2771
44.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4417
71.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4332
5.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
4126
4.81 IPS |
|
|
Pose Estimation (Q)
|
84% |
8420
9.99 IPS |
|
|
Object Detection (SP)
|
98% |
1614
128.4 IPS |
|
|
Object Detection (HP)
|
98% |
1807
143.8 IPS |
|
|
Object Detection (Q)
|
83% |
2345
189.4 IPS |
|
|
Face Detection (SP)
|
100% |
3376
40.1 IPS |
|
|
Face Detection (HP)
|
100% |
3422
40.7 IPS |
|
|
Face Detection (Q)
|
95% |
5717
68.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
3528
27.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3628
28.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
5724
52.4 IPS |
|
|
Style Transfer (SP)
|
89% |
8759
11.4 IPS |
|
|
Style Transfer (HP)
|
89% |
8778
11.4 IPS |
|
|
Style Transfer (Q)
|
98% |
16762
21.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1694
62.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1772
65.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4198
155.5 IPS |
|
|
Text Classification (SP)
|
100% |
769
1.03 KIPS |
|
|
Text Classification (HP)
|
99% |
734
980.2 IPS |
|
|
Text Classification (Q)
|
88% |
1165
1.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
1500
25.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1517
26.1 IPS |
|
|
Machine Translation (Q)
|
50% |
752
26.7 IPS |
