Samsung Galaxy S24 Ultra
Geekbench AI Score
2406
Single Precision Score
2436
Half Precision Score
3737
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | sam09966 |
| Upload Date | March 11 2025 05:13 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1801
334.9 IPS |
|
|
Image Classification (HP)
|
100% |
1881
349.9 IPS |
|
|
Image Classification (Q)
|
100% |
3120
580.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2535
41.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2658
43.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3994
64.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4250
4.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
4035
4.71 IPS |
|
|
Pose Estimation (Q)
|
84% |
9247
11.0 IPS |
|
|
Object Detection (SP)
|
98% |
1759
140.0 IPS |
|
|
Object Detection (HP)
|
98% |
1756
139.8 IPS |
|
|
Object Detection (Q)
|
83% |
2331
188.3 IPS |
|
|
Face Detection (SP)
|
100% |
3424
40.7 IPS |
|
|
Face Detection (HP)
|
100% |
3425
40.7 IPS |
|
|
Face Detection (Q)
|
95% |
5677
67.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
3448
26.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3462
26.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
5762
52.8 IPS |
|
|
Style Transfer (SP)
|
89% |
7927
10.3 IPS |
|
|
Style Transfer (HP)
|
89% |
8660
11.2 IPS |
|
|
Style Transfer (Q)
|
98% |
16675
21.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1693
62.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1718
63.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4157
154.0 IPS |
|
|
Text Classification (SP)
|
100% |
774
1.03 KIPS |
|
|
Text Classification (HP)
|
99% |
778
1.04 KIPS |
|
|
Text Classification (Q)
|
88% |
1184
1.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
1558
26.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1518
26.2 IPS |
|
|
Machine Translation (Q)
|
50% |
738
26.2 IPS |
