Samsung Galaxy S24 Ultra
Geekbench AI Score
450
Single Precision Score
447
Half Precision Score
988
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | mihun70 |
| Upload Date | January 19 2025 09:49 AM |
| Views | 8 |
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% |
313
58.2 IPS |
|
|
Image Classification (HP)
|
100% |
310
57.7 IPS |
|
|
Image Classification (Q)
|
99% |
802
149.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
388
6.29 IPS |
|
|
Image Segmentation (HP)
|
100% |
393
6.37 IPS |
|
|
Image Segmentation (Q)
|
98% |
791
12.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
527
0.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
509
0.59 IPS |
|
|
Pose Estimation (Q)
|
98% |
1948
2.28 IPS |
|
|
Object Detection (SP)
|
100% |
257
20.4 IPS |
|
|
Object Detection (HP)
|
100% |
264
21.0 IPS |
|
|
Object Detection (Q)
|
87% |
727
58.3 IPS |
|
|
Face Detection (SP)
|
100% |
654
7.77 IPS |
|
|
Face Detection (HP)
|
100% |
660
7.84 IPS |
|
|
Face Detection (Q)
|
97% |
1508
18.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
567
4.37 IPS |
|
|
Depth Estimation (HP)
|
99% |
546
4.21 IPS |
|
|
Depth Estimation (Q)
|
64% |
1270
11.5 IPS |
|
|
Style Transfer (SP)
|
100% |
848
1.09 IPS |
|
|
Style Transfer (HP)
|
100% |
823
1.06 IPS |
|
|
Style Transfer (Q)
|
98% |
1987
2.56 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
301
11.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
299
11.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
967
35.8 IPS |
|
|
Text Classification (SP)
|
100% |
354
471.8 IPS |
|
|
Text Classification (HP)
|
100% |
354
472.7 IPS |
|
|
Text Classification (Q)
|
91% |
575
772.3 IPS |
|
|
Machine Translation (SP)
|
100% |
631
10.9 IPS |
|
|
Machine Translation (HP)
|
100% |
628
10.8 IPS |
|
|
Machine Translation (Q)
|
57% |
469
11.5 IPS |
