Samsung Galaxy S24 Ultra
Geekbench AI Score
3098
Single Precision Score
3076
Half Precision Score
4829
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 06 2025 12:31 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
2061
383.3 IPS |
|
|
Image Classification (HP)
|
100% |
2231
414.8 IPS |
|
|
Image Classification (Q)
|
100% |
2846
529.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2849
46.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2814
45.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4454
72.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4937
5.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
4746
5.54 IPS |
|
|
Pose Estimation (Q)
|
84% |
10719
12.7 IPS |
|
|
Object Detection (SP)
|
98% |
2371
188.7 IPS |
|
|
Object Detection (HP)
|
98% |
2399
190.9 IPS |
|
|
Object Detection (Q)
|
83% |
3744
302.4 IPS |
|
|
Face Detection (SP)
|
100% |
4692
55.8 IPS |
|
|
Face Detection (HP)
|
100% |
4427
52.6 IPS |
|
|
Face Detection (Q)
|
95% |
8196
97.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
4342
33.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4328
33.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
7908
72.4 IPS |
|
|
Style Transfer (SP)
|
89% |
11362
14.7 IPS |
|
|
Style Transfer (HP)
|
89% |
10975
14.2 IPS |
|
|
Style Transfer (Q)
|
98% |
21533
27.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2311
85.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2397
88.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5452
202.0 IPS |
|
|
Text Classification (SP)
|
100% |
1114
1.49 KIPS |
|
|
Text Classification (HP)
|
99% |
1108
1.48 KIPS |
|
|
Text Classification (Q)
|
88% |
1745
2.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
1993
34.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1902
32.8 IPS |
|
|
Machine Translation (Q)
|
50% |
1021
36.2 IPS |
