Samsung Galaxy S24 Ultra
Geekbench AI Score
433
Single Precision Score
428
Half Precision Score
960
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | gundamf90 |
| Upload Date | August 18 2024 02:13 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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 | 10.81 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
284
52.9 IPS |
|
|
Image Classification (HP)
|
100% |
283
52.6 IPS |
|
|
Image Classification (Q)
|
97% |
738
137.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
350
5.68 IPS |
|
|
Image Segmentation (HP)
|
100% |
356
5.77 IPS |
|
|
Image Segmentation (Q)
|
98% |
749
12.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
472
0.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
432
0.50 IPS |
|
|
Pose Estimation (Q)
|
98% |
1619
1.90 IPS |
|
|
Object Detection (SP)
|
100% |
258
20.5 IPS |
|
|
Object Detection (HP)
|
100% |
261
20.7 IPS |
|
|
Object Detection (Q)
|
89% |
705
56.4 IPS |
|
|
Face Detection (SP)
|
100% |
634
7.53 IPS |
|
|
Face Detection (HP)
|
100% |
646
7.68 IPS |
|
|
Face Detection (Q)
|
97% |
1447
17.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
576
4.44 IPS |
|
|
Depth Estimation (HP)
|
100% |
535
4.12 IPS |
|
|
Depth Estimation (Q)
|
73% |
1303
10.7 IPS |
|
|
Style Transfer (SP)
|
100% |
822
1.06 IPS |
|
|
Style Transfer (HP)
|
100% |
815
1.05 IPS |
|
|
Style Transfer (Q)
|
98% |
1968
2.54 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
285
10.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
287
10.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
999
37.0 IPS |
|
|
Text Classification (SP)
|
100% |
366
488.0 IPS |
|
|
Text Classification (HP)
|
100% |
367
489.6 IPS |
|
|
Text Classification (Q)
|
91% |
601
808.0 IPS |
|
|
Machine Translation (SP)
|
100% |
622
10.7 IPS |
|
|
Machine Translation (HP)
|
100% |
620
10.7 IPS |
|
|
Machine Translation (Q)
|
57% |
477
11.6 IPS |
