Samsung Galaxy S24 Ultra
Geekbench AI Score
2228
Single Precision Score
2363
Half Precision Score
3506
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | tobbyng |
| Upload Date | December 27 2025 12:25 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Samsung Galaxy S24 Ultra |
| Model ID | samsung SM-S9280 |
| 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% |
1766
328.5 IPS |
|
|
Image Classification (HP)
|
100% |
1975
367.4 IPS |
|
|
Image Classification (Q)
|
100% |
2213
411.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1585
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2109
34.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3317
53.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3529
4.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
3597
4.20 IPS |
|
|
Pose Estimation (Q)
|
84% |
8378
9.94 IPS |
|
|
Object Detection (SP)
|
98% |
1588
126.4 IPS |
|
|
Object Detection (HP)
|
98% |
1793
142.7 IPS |
|
|
Object Detection (Q)
|
83% |
2592
209.4 IPS |
|
|
Face Detection (SP)
|
100% |
3358
39.9 IPS |
|
|
Face Detection (HP)
|
100% |
3375
40.1 IPS |
|
|
Face Detection (Q)
|
95% |
5539
66.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
3520
27.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3518
27.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
5670
51.9 IPS |
|
|
Style Transfer (SP)
|
89% |
8604
11.2 IPS |
|
|
Style Transfer (HP)
|
89% |
8725
11.3 IPS |
|
|
Style Transfer (Q)
|
98% |
16963
21.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1695
62.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1683
62.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4201
155.7 IPS |
|
|
Text Classification (SP)
|
100% |
722
963.9 IPS |
|
|
Text Classification (HP)
|
99% |
765
1.02 KIPS |
|
|
Text Classification (Q)
|
88% |
1084
1.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1547
26.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1520
26.2 IPS |
|
|
Machine Translation (Q)
|
50% |
726
25.8 IPS |
