Samsung Galaxy S24 Ultra [A15] Samsung Galaxy S24 Ultra
Geekbench AI Score
516
Single Precision Score
516
Half Precision Score
1168
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | NienorGT |
| Upload Date | May 01 2025 02:45 AM |
| Views | 3 |
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-S928W |
| 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% |
323
60.1 IPS |
|
|
Image Classification (HP)
|
100% |
321
59.6 IPS |
|
|
Image Classification (Q)
|
99% |
831
155.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
408
6.62 IPS |
|
|
Image Segmentation (HP)
|
100% |
410
6.64 IPS |
|
|
Image Segmentation (Q)
|
98% |
823
13.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
549
0.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
537
0.63 IPS |
|
|
Pose Estimation (Q)
|
98% |
2035
2.38 IPS |
|
|
Object Detection (SP)
|
100% |
302
24.0 IPS |
|
|
Object Detection (HP)
|
100% |
304
24.1 IPS |
|
|
Object Detection (Q)
|
87% |
863
69.2 IPS |
|
|
Face Detection (SP)
|
100% |
752
8.94 IPS |
|
|
Face Detection (HP)
|
100% |
758
9.00 IPS |
|
|
Face Detection (Q)
|
97% |
1781
21.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
675
5.20 IPS |
|
|
Depth Estimation (HP)
|
99% |
679
5.23 IPS |
|
|
Depth Estimation (Q)
|
64% |
1578
14.3 IPS |
|
|
Style Transfer (SP)
|
100% |
1052
1.35 IPS |
|
|
Style Transfer (HP)
|
100% |
1046
1.34 IPS |
|
|
Style Transfer (Q)
|
98% |
2633
3.39 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
355
13.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
356
13.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1170
43.4 IPS |
|
|
Text Classification (SP)
|
100% |
456
608.9 IPS |
|
|
Text Classification (HP)
|
100% |
460
613.8 IPS |
|
|
Text Classification (Q)
|
91% |
749
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
709
12.2 IPS |
|
|
Machine Translation (HP)
|
100% |
714
12.3 IPS |
|
|
Machine Translation (Q)
|
57% |
609
14.9 IPS |
