Samsung Galaxy S24 Ultra
Geekbench AI Score
2304
Single Precision Score
2354
Half Precision Score
3615
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Spiike |
| Upload Date | July 16 2025 01:47 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-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% |
1655
307.7 IPS |
|
|
Image Classification (HP)
|
100% |
1648
306.4 IPS |
|
|
Image Classification (Q)
|
100% |
3277
609.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2552
41.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2566
41.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4263
69.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4227
4.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
3603
4.20 IPS |
|
|
Pose Estimation (Q)
|
84% |
8387
9.95 IPS |
|
|
Object Detection (SP)
|
98% |
1738
138.3 IPS |
|
|
Object Detection (HP)
|
98% |
1775
141.2 IPS |
|
|
Object Detection (Q)
|
83% |
2343
189.2 IPS |
|
|
Face Detection (SP)
|
100% |
3300
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
3451
41.0 IPS |
|
|
Face Detection (Q)
|
95% |
5708
68.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
3409
26.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3491
27.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
5698
52.2 IPS |
|
|
Style Transfer (SP)
|
89% |
8662
11.2 IPS |
|
|
Style Transfer (HP)
|
89% |
8713
11.3 IPS |
|
|
Style Transfer (Q)
|
98% |
16711
21.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1794
66.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1817
67.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4237
157.0 IPS |
|
|
Text Classification (SP)
|
100% |
650
867.5 IPS |
|
|
Text Classification (HP)
|
99% |
690
921.3 IPS |
|
|
Text Classification (Q)
|
88% |
992
1.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
1196
20.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1473
25.4 IPS |
|
|
Machine Translation (Q)
|
50% |
608
21.6 IPS |
