Samsung Galaxy S24 Ultra
Geekbench AI Score
2422
Single Precision Score
2513
Half Precision Score
3700
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 20 2025 01:31 AM |
| 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% |
2018
375.3 IPS |
|
|
Image Classification (HP)
|
100% |
2439
453.7 IPS |
|
|
Image Classification (Q)
|
100% |
3107
577.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2673
43.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2707
43.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4343
70.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4181
4.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
4157
4.85 IPS |
|
|
Pose Estimation (Q)
|
84% |
9279
11.0 IPS |
|
|
Object Detection (SP)
|
98% |
1667
132.7 IPS |
|
|
Object Detection (HP)
|
98% |
1709
136.0 IPS |
|
|
Object Detection (Q)
|
83% |
2428
196.1 IPS |
|
|
Face Detection (SP)
|
100% |
3209
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
3377
40.1 IPS |
|
|
Face Detection (Q)
|
95% |
5366
64.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
3650
28.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3646
28.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
5891
54.0 IPS |
|
|
Style Transfer (SP)
|
89% |
8856
11.5 IPS |
|
|
Style Transfer (HP)
|
89% |
8825
11.5 IPS |
|
|
Style Transfer (Q)
|
98% |
15769
20.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1765
65.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1753
64.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4011
148.6 IPS |
|
|
Text Classification (SP)
|
100% |
684
912.4 IPS |
|
|
Text Classification (HP)
|
99% |
736
982.3 IPS |
|
|
Text Classification (Q)
|
88% |
1070
1.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
1479
25.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1530
26.3 IPS |
|
|
Machine Translation (Q)
|
50% |
741
26.3 IPS |
