Samsung Galaxy S24 Ultra
Geekbench AI Score
2115
Single Precision Score
2074
Half Precision Score
2843
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 21 2025 09:28 PM |
| Views | 1 |
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% |
1903
353.8 IPS |
|
|
Image Classification (HP)
|
100% |
1900
353.4 IPS |
|
|
Image Classification (Q)
|
100% |
2776
516.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2093
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2078
33.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2978
48.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3410
3.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
3089
3.60 IPS |
|
|
Pose Estimation (Q)
|
84% |
7257
8.61 IPS |
|
|
Object Detection (SP)
|
98% |
1539
122.4 IPS |
|
|
Object Detection (HP)
|
98% |
1319
105.0 IPS |
|
|
Object Detection (Q)
|
83% |
1455
117.5 IPS |
|
|
Face Detection (SP)
|
100% |
2941
34.9 IPS |
|
|
Face Detection (HP)
|
100% |
2968
35.3 IPS |
|
|
Face Detection (Q)
|
95% |
5059
60.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
3022
23.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2972
23.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
4177
38.3 IPS |
|
|
Style Transfer (SP)
|
89% |
7518
9.76 IPS |
|
|
Style Transfer (HP)
|
89% |
7523
9.77 IPS |
|
|
Style Transfer (Q)
|
98% |
14611
18.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1473
54.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1553
57.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3663
135.7 IPS |
|
|
Text Classification (SP)
|
100% |
649
866.4 IPS |
|
|
Text Classification (HP)
|
99% |
683
911.2 IPS |
|
|
Text Classification (Q)
|
88% |
629
848.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1342
23.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1306
22.5 IPS |
|
|
Machine Translation (Q)
|
50% |
556
19.7 IPS |
