Samsung Galaxy S24 Ultra
Geekbench AI Score
512
Single Precision Score
513
Half Precision Score
1166
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | springkim |
| Upload Date | April 22 2025 07:33 AM |
| Views | 3 |
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-S928N |
| 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 | 10.81 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
314
58.4 IPS |
|
|
Image Classification (HP)
|
100% |
318
59.1 IPS |
|
|
Image Classification (Q)
|
99% |
827
154.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
403
6.53 IPS |
|
|
Image Segmentation (HP)
|
100% |
407
6.60 IPS |
|
|
Image Segmentation (Q)
|
98% |
831
13.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
552
0.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
541
0.63 IPS |
|
|
Pose Estimation (Q)
|
98% |
2108
2.47 IPS |
|
|
Object Detection (SP)
|
100% |
303
24.0 IPS |
|
|
Object Detection (HP)
|
100% |
304
24.1 IPS |
|
|
Object Detection (Q)
|
87% |
865
69.4 IPS |
|
|
Face Detection (SP)
|
100% |
743
8.83 IPS |
|
|
Face Detection (HP)
|
100% |
751
8.92 IPS |
|
|
Face Detection (Q)
|
97% |
1747
20.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
657
5.06 IPS |
|
|
Depth Estimation (HP)
|
99% |
658
5.07 IPS |
|
|
Depth Estimation (Q)
|
64% |
1550
14.1 IPS |
|
|
Style Transfer (SP)
|
100% |
1055
1.36 IPS |
|
|
Style Transfer (HP)
|
100% |
1055
1.36 IPS |
|
|
Style Transfer (Q)
|
98% |
2588
3.34 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
348
12.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
348
12.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1169
43.3 IPS |
|
|
Text Classification (SP)
|
100% |
457
610.5 IPS |
|
|
Text Classification (HP)
|
100% |
462
617.2 IPS |
|
|
Text Classification (Q)
|
91% |
751
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
727
12.5 IPS |
|
|
Machine Translation (HP)
|
100% |
719
12.4 IPS |
|
|
Machine Translation (Q)
|
57% |
604
14.8 IPS |
