Samsung Galaxy S24 Ultra
Geekbench AI Score
946
Single Precision Score
1502
Half Precision Score
1467
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | tobbyng |
| Upload Date | December 27 2025 12:40 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
911
169.4 IPS |
|
|
Image Classification (HP)
|
100% |
1007
187.3 IPS |
|
|
Image Classification (Q)
|
96% |
774
144.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
938
15.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2107
34.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2011
32.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
931
1.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
1818
2.12 IPS |
|
|
Pose Estimation (Q)
|
96% |
1809
2.12 IPS |
|
|
Object Detection (SP)
|
100% |
556
44.1 IPS |
|
|
Object Detection (HP)
|
100% |
782
62.1 IPS |
|
|
Object Detection (Q)
|
87% |
769
61.8 IPS |
|
|
Face Detection (SP)
|
100% |
2100
25.0 IPS |
|
|
Face Detection (HP)
|
100% |
3720
44.2 IPS |
|
|
Face Detection (Q)
|
97% |
3553
42.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1366
10.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2698
20.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
2230
20.7 IPS |
|
|
Style Transfer (SP)
|
100% |
4696
6.04 IPS |
|
|
Style Transfer (HP)
|
100% |
7669
9.86 IPS |
|
|
Style Transfer (Q)
|
98% |
7642
9.85 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
424
15.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1136
42.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1103
40.9 IPS |
|
|
Text Classification (SP)
|
100% |
383
511.5 IPS |
|
|
Text Classification (HP)
|
100% |
388
517.5 IPS |
|
|
Text Classification (Q)
|
91% |
647
869.3 IPS |
|
|
Machine Translation (SP)
|
100% |
597
10.3 IPS |
|
|
Machine Translation (HP)
|
100% |
574
9.88 IPS |
|
|
Machine Translation (Q)
|
57% |
494
12.1 IPS |
