Samsung Galaxy S24 Ultra
Geekbench AI Score
2425
Single Precision Score
2437
Half Precision Score
3628
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 07 2025 05:59 PM |
| Views | 1 |
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-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% |
1997
371.4 IPS |
|
|
Image Classification (HP)
|
100% |
2375
441.6 IPS |
|
|
Image Classification (Q)
|
100% |
3310
615.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2525
40.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2639
42.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4247
69.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4219
4.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
3606
4.21 IPS |
|
|
Pose Estimation (Q)
|
84% |
8375
9.93 IPS |
|
|
Object Detection (SP)
|
98% |
1766
140.6 IPS |
|
|
Object Detection (HP)
|
98% |
1720
136.9 IPS |
|
|
Object Detection (Q)
|
83% |
2169
175.2 IPS |
|
|
Face Detection (SP)
|
100% |
3333
39.6 IPS |
|
|
Face Detection (HP)
|
100% |
3399
40.4 IPS |
|
|
Face Detection (Q)
|
95% |
5680
67.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
3508
27.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3454
26.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
5688
52.1 IPS |
|
|
Style Transfer (SP)
|
89% |
8741
11.3 IPS |
|
|
Style Transfer (HP)
|
89% |
8663
11.2 IPS |
|
|
Style Transfer (Q)
|
98% |
15222
19.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1691
62.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1659
61.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4013
148.7 IPS |
|
|
Text Classification (SP)
|
100% |
700
933.8 IPS |
|
|
Text Classification (HP)
|
99% |
728
972.0 IPS |
|
|
Text Classification (Q)
|
88% |
1119
1.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
1550
26.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1553
26.7 IPS |
|
|
Machine Translation (Q)
|
50% |
701
24.9 IPS |
