Samsung Galaxy S24 Ultra
Geekbench AI Score
2019
Single Precision Score
2060
Half Precision Score
2935
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | curranc |
| Upload Date | April 29 2025 11:17 AM |
| Views | 9 |
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% |
1750
325.5 IPS |
|
|
Image Classification (HP)
|
100% |
2201
409.3 IPS |
|
|
Image Classification (Q)
|
100% |
3154
586.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2388
38.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2438
39.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2817
45.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3371
3.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
3235
3.77 IPS |
|
|
Pose Estimation (Q)
|
84% |
6175
7.32 IPS |
|
|
Object Detection (SP)
|
98% |
1365
108.7 IPS |
|
|
Object Detection (HP)
|
98% |
1395
111.0 IPS |
|
|
Object Detection (Q)
|
83% |
2193
177.1 IPS |
|
|
Face Detection (SP)
|
100% |
3100
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
3086
36.7 IPS |
|
|
Face Detection (Q)
|
95% |
4796
57.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
2797
21.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2764
21.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
4373
40.1 IPS |
|
|
Style Transfer (SP)
|
89% |
6770
8.79 IPS |
|
|
Style Transfer (HP)
|
89% |
6777
8.80 IPS |
|
|
Style Transfer (Q)
|
98% |
12619
16.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1381
51.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1417
52.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3091
114.5 IPS |
|
|
Text Classification (SP)
|
100% |
592
790.1 IPS |
|
|
Text Classification (HP)
|
99% |
590
787.2 IPS |
|
|
Text Classification (Q)
|
88% |
896
1.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
1221
21.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1177
20.3 IPS |
|
|
Machine Translation (Q)
|
50% |
538
19.1 IPS |
