Samsung Galaxy S24 Ultra
Geekbench AI Score
385
Single Precision Score
373
Half Precision Score
820
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 15 2025 05:01 PM |
| Views | 1 |
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-S928U |
| 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% |
282
52.4 IPS |
|
|
Image Classification (HP)
|
100% |
280
52.1 IPS |
|
|
Image Classification (Q)
|
99% |
718
133.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
335
5.43 IPS |
|
|
Image Segmentation (HP)
|
100% |
303
4.91 IPS |
|
|
Image Segmentation (Q)
|
98% |
605
9.84 IPS |
|
|
Pose Estimation (SP)
|
100% |
375
0.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
356
0.42 IPS |
|
|
Pose Estimation (Q)
|
98% |
1397
1.64 IPS |
|
|
Object Detection (SP)
|
100% |
216
17.1 IPS |
|
|
Object Detection (HP)
|
100% |
225
17.9 IPS |
|
|
Object Detection (Q)
|
87% |
589
47.3 IPS |
|
|
Face Detection (SP)
|
100% |
562
6.68 IPS |
|
|
Face Detection (HP)
|
100% |
542
6.44 IPS |
|
|
Face Detection (Q)
|
97% |
1234
14.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
471
3.63 IPS |
|
|
Depth Estimation (HP)
|
99% |
434
3.34 IPS |
|
|
Depth Estimation (Q)
|
64% |
978
8.87 IPS |
|
|
Style Transfer (SP)
|
100% |
737
0.95 IPS |
|
|
Style Transfer (HP)
|
100% |
736
0.95 IPS |
|
|
Style Transfer (Q)
|
98% |
1786
2.30 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
267
9.87 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
258
9.53 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
814
30.2 IPS |
|
|
Text Classification (SP)
|
100% |
333
444.7 IPS |
|
|
Text Classification (HP)
|
100% |
333
444.4 IPS |
|
|
Text Classification (Q)
|
91% |
542
727.9 IPS |
|
|
Machine Translation (SP)
|
100% |
541
9.31 IPS |
|
|
Machine Translation (HP)
|
100% |
516
8.89 IPS |
|
|
Machine Translation (Q)
|
57% |
409
10.00 IPS |
