Samsung Galaxy S24 Ultra
Geekbench AI Score
2204
Single Precision Score
3407
Half Precision Score
2687
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | rodrigo_rl |
| Upload Date | March 05 2026 05:29 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
1293
240.5 IPS |
|
|
Image Classification (HP)
|
100% |
1939
360.5 IPS |
|
|
Image Classification (Q)
|
100% |
1796
334.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2847
46.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4907
79.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
4506
73.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11130
13.0 IPS |
|
|
Pose Estimation (HP)
|
99% |
20305
23.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
19989
23.4 IPS |
|
|
Object Detection (SP)
|
100% |
1226
97.3 IPS |
|
|
Object Detection (HP)
|
99% |
1841
146.0 IPS |
|
|
Object Detection (Q)
|
87% |
1782
143.1 IPS |
|
|
Face Detection (SP)
|
100% |
4479
53.2 IPS |
|
|
Face Detection (HP)
|
100% |
7461
88.7 IPS |
|
|
Face Detection (Q)
|
97% |
5986
71.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5765
44.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
8539
66.0 IPS |
|
|
Depth Estimation (Q)
|
61% |
6437
63.4 IPS |
|
|
Style Transfer (SP)
|
100% |
14195
18.2 IPS |
|
|
Style Transfer (HP)
|
100% |
30123
38.7 IPS |
|
|
Style Transfer (Q)
|
98% |
29169
37.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3063
113.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5039
186.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4819
178.6 IPS |
|
|
Text Classification (SP)
|
35% |
50
486.9 IPS |
|
|
Text Classification (HP)
|
35% |
66
604.5 IPS |
|
|
Text Classification (Q)
|
33% |
50
603.0 IPS |
|
|
Machine Translation (SP)
|
100% |
962
16.6 IPS |
|
|
Machine Translation (HP)
|
97% |
929
16.1 IPS |
|
|
Machine Translation (Q)
|
43% |
252
14.3 IPS |
