Samsung Galaxy S24 Ultra
Geekbench AI Score
1995
Single Precision Score
2015
Half Precision Score
3046
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 13 2025 02:32 PM |
| Views | 1 |
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% |
1777
330.4 IPS |
|
|
Image Classification (HP)
|
100% |
1781
331.2 IPS |
|
|
Image Classification (Q)
|
100% |
2946
547.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1682
27.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2335
37.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2910
47.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3577
4.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
3273
3.82 IPS |
|
|
Pose Estimation (Q)
|
84% |
6886
8.17 IPS |
|
|
Object Detection (SP)
|
98% |
1407
112.0 IPS |
|
|
Object Detection (HP)
|
98% |
1421
113.0 IPS |
|
|
Object Detection (Q)
|
83% |
1994
161.1 IPS |
|
|
Face Detection (SP)
|
100% |
2758
32.8 IPS |
|
|
Face Detection (HP)
|
100% |
2807
33.4 IPS |
|
|
Face Detection (Q)
|
95% |
4525
54.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
2955
22.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2675
20.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
4668
42.8 IPS |
|
|
Style Transfer (SP)
|
89% |
7493
9.73 IPS |
|
|
Style Transfer (HP)
|
89% |
7348
9.54 IPS |
|
|
Style Transfer (Q)
|
98% |
14163
18.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1355
50.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1339
49.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3417
126.6 IPS |
|
|
Text Classification (SP)
|
100% |
635
848.2 IPS |
|
|
Text Classification (HP)
|
99% |
632
844.0 IPS |
|
|
Text Classification (Q)
|
88% |
969
1.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
1268
21.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1227
21.1 IPS |
|
|
Machine Translation (Q)
|
50% |
590
20.9 IPS |
