Samsung Galaxy S24 Ultra
Geekbench AI Score
2320
Single Precision Score
2486
Half Precision Score
3512
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Wisely_2023 |
| Upload Date | December 09 2024 12:50 PM |
| Views | 6 |
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-S9280 |
| 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% |
1939
360.6 IPS |
|
|
Image Classification (HP)
|
100% |
2326
432.6 IPS |
|
|
Image Classification (Q)
|
100% |
2748
511.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2621
42.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2561
41.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
4072
66.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4065
4.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
4016
4.69 IPS |
|
|
Pose Estimation (Q)
|
84% |
8276
9.82 IPS |
|
|
Object Detection (SP)
|
98% |
1750
139.3 IPS |
|
|
Object Detection (HP)
|
98% |
1730
137.6 IPS |
|
|
Object Detection (Q)
|
83% |
2281
184.2 IPS |
|
|
Face Detection (SP)
|
100% |
3341
39.7 IPS |
|
|
Face Detection (HP)
|
100% |
3435
40.8 IPS |
|
|
Face Detection (Q)
|
95% |
5686
67.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
2857
22.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3441
26.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
4388
40.2 IPS |
|
|
Style Transfer (SP)
|
89% |
8517
11.1 IPS |
|
|
Style Transfer (HP)
|
89% |
8696
11.3 IPS |
|
|
Style Transfer (Q)
|
98% |
16540
21.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1717
63.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1773
65.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4161
154.2 IPS |
|
|
Text Classification (SP)
|
100% |
726
969.6 IPS |
|
|
Text Classification (HP)
|
99% |
775
1.03 KIPS |
|
|
Text Classification (Q)
|
88% |
1080
1.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1236
21.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1545
26.6 IPS |
|
|
Machine Translation (Q)
|
50% |
729
25.9 IPS |
