Samsung Galaxy S24 Ultra
Geekbench AI Score
2170
Single Precision Score
3358
Half Precision Score
2604
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | Lello75 |
| Upload Date | March 05 2026 05:55 PM |
| Views | 8 |
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% |
1300
241.8 IPS |
|
|
Image Classification (HP)
|
100% |
1925
358.0 IPS |
|
|
Image Classification (Q)
|
100% |
1815
337.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2792
45.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4911
79.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3886
63.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11216
13.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
20038
23.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
18361
21.5 IPS |
|
|
Object Detection (SP)
|
100% |
1152
91.4 IPS |
|
|
Object Detection (HP)
|
99% |
1790
142.0 IPS |
|
|
Object Detection (Q)
|
87% |
1839
147.7 IPS |
|
|
Face Detection (SP)
|
100% |
4423
52.6 IPS |
|
|
Face Detection (HP)
|
100% |
7512
89.3 IPS |
|
|
Face Detection (Q)
|
97% |
5907
70.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5765
44.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
8497
65.7 IPS |
|
|
Depth Estimation (Q)
|
61% |
6525
64.3 IPS |
|
|
Style Transfer (SP)
|
100% |
14070
18.1 IPS |
|
|
Style Transfer (HP)
|
100% |
30177
38.8 IPS |
|
|
Style Transfer (Q)
|
98% |
28569
36.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3058
112.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4722
174.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4517
167.4 IPS |
|
|
Text Classification (SP)
|
35% |
51
496.4 IPS |
|
|
Text Classification (HP)
|
35% |
64
578.1 IPS |
|
|
Text Classification (Q)
|
33% |
47
569.6 IPS |
|
|
Machine Translation (SP)
|
100% |
884
15.2 IPS |
|
|
Machine Translation (HP)
|
97% |
924
16.0 IPS |
|
|
Machine Translation (Q)
|
43% |
258
14.6 IPS |
