Samsung Galaxy S24 Ultra
Geekbench AI Score
498
Single Precision Score
22627
Half Precision Score
51495
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | March 31 2025 03:30 PM |
| Views | 28 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
18398
3.42 KIPS |
|
|
Image Classification (Q)
|
97% |
41688
7.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
389
6.30 IPS |
|
|
Image Segmentation (HP)
|
100% |
10961
177.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
31415
510.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
520
0.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
100110
116.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
398756
466.7 IPS |
|
|
Object Detection (SP)
|
100% |
294
23.3 IPS |
|
|
Object Detection (HP)
|
100% |
16567
1.31 KIPS |
|
|
Object Detection (Q)
|
86% |
20505
1.65 KIPS |
|
|
Face Detection (SP)
|
100% |
741
8.81 IPS |
|
|
Face Detection (HP)
|
100% |
35485
421.6 IPS |
|
|
Face Detection (Q)
|
97% |
128028
1.53 KIPS |
|
|
Depth Estimation (SP)
|
100% |
644
4.96 IPS |
|
|
Depth Estimation (HP)
|
99% |
64502
497.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
118157
1.11 KIPS |
|
|
Style Transfer (SP)
|
100% |
1021
1.31 IPS |
|
|
Style Transfer (HP)
|
98% |
85517
110.3 IPS |
|
|
Style Transfer (Q)
|
98% |
422718
545.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
341
12.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46120
1.70 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
103738
3.84 KIPS |
|
|
Text Classification (SP)
|
100% |
434
579.3 IPS |
|
|
Text Classification (HP)
|
100% |
3087
4.12 KIPS |
|
|
Text Classification (Q)
|
93% |
6840
9.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
702
12.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3775
65.0 IPS |
|
|
Machine Translation (Q)
|
55% |
2699
70.7 IPS |
