Samsung Galaxy S24 Ultra
Geekbench AI Score
2304
Single Precision Score
2309
Half Precision Score
3316
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 12 2025 02:23 PM |
| 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-S928U1 |
| 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% |
1818
338.0 IPS |
|
|
Image Classification (HP)
|
100% |
2281
424.1 IPS |
|
|
Image Classification (Q)
|
100% |
2794
519.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2511
40.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2421
39.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3380
55.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4064
4.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
3673
4.29 IPS |
|
|
Pose Estimation (Q)
|
84% |
8379
9.94 IPS |
|
|
Object Detection (SP)
|
98% |
1769
140.8 IPS |
|
|
Object Detection (HP)
|
98% |
1805
143.6 IPS |
|
|
Object Detection (Q)
|
83% |
2120
171.2 IPS |
|
|
Face Detection (SP)
|
100% |
3209
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
3204
38.1 IPS |
|
|
Face Detection (Q)
|
95% |
4965
59.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
3203
24.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3170
24.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
5290
48.5 IPS |
|
|
Style Transfer (SP)
|
89% |
8052
10.5 IPS |
|
|
Style Transfer (HP)
|
89% |
7986
10.4 IPS |
|
|
Style Transfer (Q)
|
98% |
14887
19.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1585
58.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1597
59.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3721
137.9 IPS |
|
|
Text Classification (SP)
|
100% |
693
925.5 IPS |
|
|
Text Classification (HP)
|
99% |
687
917.5 IPS |
|
|
Text Classification (Q)
|
88% |
976
1.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
1413
24.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1326
22.8 IPS |
|
|
Machine Translation (Q)
|
50% |
675
23.9 IPS |
