Samsung Galaxy S24 Ultra
Geekbench AI Score
2388
Single Precision Score
2510
Half Precision Score
3636
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 23 2025 10:38 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
1534
285.2 IPS |
|
|
Image Classification (HP)
|
100% |
2396
445.5 IPS |
|
|
Image Classification (Q)
|
100% |
2701
502.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2704
43.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2720
44.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4016
65.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4320
5.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
4149
4.84 IPS |
|
|
Pose Estimation (Q)
|
84% |
8247
9.78 IPS |
|
|
Object Detection (SP)
|
98% |
1722
137.1 IPS |
|
|
Object Detection (HP)
|
98% |
1737
138.2 IPS |
|
|
Object Detection (Q)
|
83% |
2493
201.4 IPS |
|
|
Face Detection (SP)
|
100% |
3412
40.5 IPS |
|
|
Face Detection (HP)
|
100% |
3415
40.6 IPS |
|
|
Face Detection (Q)
|
95% |
5504
65.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
3340
25.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3302
25.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
5835
53.4 IPS |
|
|
Style Transfer (SP)
|
89% |
8793
11.4 IPS |
|
|
Style Transfer (HP)
|
89% |
8662
11.2 IPS |
|
|
Style Transfer (Q)
|
98% |
16221
20.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1632
60.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1675
61.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3985
147.7 IPS |
|
|
Text Classification (SP)
|
100% |
745
994.1 IPS |
|
|
Text Classification (HP)
|
99% |
775
1.03 KIPS |
|
|
Text Classification (Q)
|
88% |
1071
1.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
1606
27.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1670
28.8 IPS |
|
|
Machine Translation (Q)
|
50% |
815
28.9 IPS |
