Samsung Galaxy S24 Ultra
Geekbench AI Score
2201
Single Precision Score
2311
Half Precision Score
3355
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 28 2025 06:13 PM |
| Views | 3 |
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% |
1707
317.5 IPS |
|
|
Image Classification (HP)
|
100% |
2298
427.3 IPS |
|
|
Image Classification (Q)
|
100% |
2842
528.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2295
37.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2298
37.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3647
59.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3335
3.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
3309
3.86 IPS |
|
|
Pose Estimation (Q)
|
84% |
6799
8.06 IPS |
|
|
Object Detection (SP)
|
98% |
1643
130.7 IPS |
|
|
Object Detection (HP)
|
98% |
1640
130.5 IPS |
|
|
Object Detection (Q)
|
83% |
2330
188.2 IPS |
|
|
Face Detection (SP)
|
100% |
3232
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
3277
38.9 IPS |
|
|
Face Detection (Q)
|
95% |
5174
61.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
2830
21.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3206
24.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
5257
48.1 IPS |
|
|
Style Transfer (SP)
|
89% |
7961
10.3 IPS |
|
|
Style Transfer (HP)
|
89% |
8087
10.5 IPS |
|
|
Style Transfer (Q)
|
98% |
15228
19.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1606
59.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1661
61.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3762
139.4 IPS |
|
|
Text Classification (SP)
|
100% |
704
939.3 IPS |
|
|
Text Classification (HP)
|
99% |
734
979.7 IPS |
|
|
Text Classification (Q)
|
88% |
1033
1.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1516
26.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1464
25.2 IPS |
|
|
Machine Translation (Q)
|
50% |
684
24.3 IPS |
