Samsung Galaxy S24 Ultra
Geekbench AI Score
2453
Single Precision Score
2477
Half Precision Score
3631
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 07 2025 05:23 AM |
| Views | 4 |
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-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% |
2231
414.9 IPS |
|
|
Image Classification (HP)
|
100% |
2235
415.7 IPS |
|
|
Image Classification (Q)
|
100% |
2593
482.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2523
40.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2535
41.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3935
64.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3571
4.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
3613
4.22 IPS |
|
|
Pose Estimation (Q)
|
84% |
8385
9.94 IPS |
|
|
Object Detection (SP)
|
98% |
1752
139.4 IPS |
|
|
Object Detection (HP)
|
98% |
1768
140.7 IPS |
|
|
Object Detection (Q)
|
83% |
2515
203.1 IPS |
|
|
Face Detection (SP)
|
100% |
3457
41.1 IPS |
|
|
Face Detection (HP)
|
100% |
3428
40.7 IPS |
|
|
Face Detection (Q)
|
95% |
5675
67.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
3622
28.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3658
28.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
5748
52.7 IPS |
|
|
Style Transfer (SP)
|
89% |
8744
11.4 IPS |
|
|
Style Transfer (HP)
|
89% |
8711
11.3 IPS |
|
|
Style Transfer (Q)
|
98% |
16451
21.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1719
63.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1796
66.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4220
156.4 IPS |
|
|
Text Classification (SP)
|
100% |
764
1.02 KIPS |
|
|
Text Classification (HP)
|
99% |
759
1.01 KIPS |
|
|
Text Classification (Q)
|
88% |
1055
1.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
1564
26.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1615
27.8 IPS |
|
|
Machine Translation (Q)
|
50% |
776
27.5 IPS |
