Samsung Galaxy S24 Ultra
Geekbench AI Score
508
Single Precision Score
507
Half Precision Score
1144
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 14 2025 01:52 AM |
| Views | 2 |
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-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% |
317
58.9 IPS |
|
|
Image Classification (HP)
|
100% |
319
59.3 IPS |
|
|
Image Classification (Q)
|
99% |
827
154.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
404
6.54 IPS |
|
|
Image Segmentation (HP)
|
100% |
404
6.56 IPS |
|
|
Image Segmentation (Q)
|
98% |
830
13.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
548
0.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
534
0.62 IPS |
|
|
Pose Estimation (Q)
|
98% |
2093
2.45 IPS |
|
|
Object Detection (SP)
|
100% |
304
24.1 IPS |
|
|
Object Detection (HP)
|
100% |
306
24.3 IPS |
|
|
Object Detection (Q)
|
87% |
861
69.1 IPS |
|
|
Face Detection (SP)
|
100% |
734
8.73 IPS |
|
|
Face Detection (HP)
|
100% |
738
8.77 IPS |
|
|
Face Detection (Q)
|
97% |
1807
21.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
653
5.03 IPS |
|
|
Depth Estimation (HP)
|
99% |
652
5.02 IPS |
|
|
Depth Estimation (Q)
|
64% |
1594
14.5 IPS |
|
|
Style Transfer (SP)
|
100% |
1041
1.34 IPS |
|
|
Style Transfer (HP)
|
100% |
1035
1.33 IPS |
|
|
Style Transfer (Q)
|
98% |
2564
3.31 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
357
13.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
354
13.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1127
41.8 IPS |
|
|
Text Classification (SP)
|
100% |
432
576.7 IPS |
|
|
Text Classification (HP)
|
100% |
433
577.9 IPS |
|
|
Text Classification (Q)
|
91% |
677
910.5 IPS |
|
|
Machine Translation (SP)
|
100% |
708
12.2 IPS |
|
|
Machine Translation (HP)
|
100% |
699
12.0 IPS |
|
|
Machine Translation (Q)
|
57% |
555
13.6 IPS |
