Samsung Galaxy S24 Ultra
Geekbench AI Score
484
Single Precision Score
483
Half Precision Score
1109
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 21 2024 10:43 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-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% |
305
56.7 IPS |
|
|
Image Classification (HP)
|
100% |
298
55.4 IPS |
|
|
Image Classification (Q)
|
99% |
783
146.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
379
6.15 IPS |
|
|
Image Segmentation (HP)
|
100% |
381
6.17 IPS |
|
|
Image Segmentation (Q)
|
98% |
766
12.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
506
0.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
496
0.58 IPS |
|
|
Pose Estimation (Q)
|
98% |
1985
2.32 IPS |
|
|
Object Detection (SP)
|
100% |
283
22.4 IPS |
|
|
Object Detection (HP)
|
100% |
286
22.7 IPS |
|
|
Object Detection (Q)
|
87% |
820
65.7 IPS |
|
|
Face Detection (SP)
|
100% |
720
8.55 IPS |
|
|
Face Detection (HP)
|
100% |
726
8.63 IPS |
|
|
Face Detection (Q)
|
97% |
1710
20.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
621
4.78 IPS |
|
|
Depth Estimation (HP)
|
99% |
620
4.77 IPS |
|
|
Depth Estimation (Q)
|
64% |
1484
13.5 IPS |
|
|
Style Transfer (SP)
|
100% |
987
1.27 IPS |
|
|
Style Transfer (HP)
|
100% |
987
1.27 IPS |
|
|
Style Transfer (Q)
|
98% |
2490
3.21 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
327
12.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
331
12.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1113
41.2 IPS |
|
|
Text Classification (SP)
|
100% |
435
580.5 IPS |
|
|
Text Classification (HP)
|
100% |
435
580.7 IPS |
|
|
Text Classification (Q)
|
91% |
716
962.2 IPS |
|
|
Machine Translation (SP)
|
100% |
680
11.7 IPS |
|
|
Machine Translation (HP)
|
100% |
674
11.6 IPS |
|
|
Machine Translation (Q)
|
57% |
577
14.1 IPS |
