Samsung Galaxy S24 Ultra
Geekbench AI Score
412
Single Precision Score
405
Half Precision Score
909
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | tobbyng |
| Upload Date | May 03 2025 10:28 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
287
53.3 IPS |
|
|
Image Classification (HP)
|
100% |
284
52.8 IPS |
|
|
Image Classification (Q)
|
99% |
750
139.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
352
5.71 IPS |
|
|
Image Segmentation (HP)
|
100% |
351
5.69 IPS |
|
|
Image Segmentation (Q)
|
98% |
738
12.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
469
0.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
412
0.48 IPS |
|
|
Pose Estimation (Q)
|
98% |
1584
1.85 IPS |
|
|
Object Detection (SP)
|
100% |
226
17.9 IPS |
|
|
Object Detection (HP)
|
100% |
233
18.5 IPS |
|
|
Object Detection (Q)
|
87% |
647
51.9 IPS |
|
|
Face Detection (SP)
|
100% |
592
7.03 IPS |
|
|
Face Detection (HP)
|
100% |
601
7.14 IPS |
|
|
Face Detection (Q)
|
97% |
1357
16.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
535
4.12 IPS |
|
|
Depth Estimation (HP)
|
99% |
502
3.87 IPS |
|
|
Depth Estimation (Q)
|
64% |
1040
9.44 IPS |
|
|
Style Transfer (SP)
|
100% |
789
1.01 IPS |
|
|
Style Transfer (HP)
|
100% |
797
1.02 IPS |
|
|
Style Transfer (Q)
|
98% |
2023
2.61 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
274
10.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
276
10.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
906
33.6 IPS |
|
|
Text Classification (SP)
|
100% |
341
454.8 IPS |
|
|
Text Classification (HP)
|
100% |
334
445.6 IPS |
|
|
Text Classification (Q)
|
91% |
587
788.7 IPS |
|
|
Machine Translation (SP)
|
100% |
577
9.93 IPS |
|
|
Machine Translation (HP)
|
100% |
569
9.80 IPS |
|
|
Machine Translation (Q)
|
57% |
452
11.1 IPS |
