Samsung Galaxy S24 Ultra
Geekbench AI Score
2011
Single Precision Score
2047
Half Precision Score
3131
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 15 2025 01:30 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-S928U |
| 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% |
1632
303.5 IPS |
|
|
Image Classification (HP)
|
100% |
2009
373.7 IPS |
|
|
Image Classification (Q)
|
100% |
2331
433.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1681
27.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1700
27.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2711
44.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3142
3.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
3151
3.68 IPS |
|
|
Pose Estimation (Q)
|
84% |
7285
8.64 IPS |
|
|
Object Detection (SP)
|
98% |
1555
123.7 IPS |
|
|
Object Detection (HP)
|
98% |
1353
107.7 IPS |
|
|
Object Detection (Q)
|
83% |
2211
178.6 IPS |
|
|
Face Detection (SP)
|
100% |
2874
34.1 IPS |
|
|
Face Detection (HP)
|
100% |
2843
33.8 IPS |
|
|
Face Detection (Q)
|
95% |
4895
58.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
3062
23.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3037
23.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
5048
46.2 IPS |
|
|
Style Transfer (SP)
|
89% |
7673
9.96 IPS |
|
|
Style Transfer (HP)
|
89% |
7545
9.79 IPS |
|
|
Style Transfer (Q)
|
98% |
14550
18.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1349
49.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1508
55.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3735
138.4 IPS |
|
|
Text Classification (SP)
|
100% |
654
872.5 IPS |
|
|
Text Classification (HP)
|
99% |
679
905.9 IPS |
|
|
Text Classification (Q)
|
88% |
1055
1.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
1360
23.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1336
23.0 IPS |
|
|
Machine Translation (Q)
|
50% |
628
22.3 IPS |
