Samsung Galaxy S24 Ultra
Geekbench AI Score
2050
Single Precision Score
2017
Half Precision Score
2956
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | tobbyng |
| Upload Date | May 03 2025 10:11 AM |
| Views | 5 |
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-S9280 |
| 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% |
1986
369.3 IPS |
|
|
Image Classification (HP)
|
100% |
2213
411.6 IPS |
|
|
Image Classification (Q)
|
100% |
3186
592.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2507
40.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2469
40.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3841
62.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4035
4.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
2893
3.38 IPS |
|
|
Pose Estimation (Q)
|
84% |
6067
7.20 IPS |
|
|
Object Detection (SP)
|
98% |
1385
110.2 IPS |
|
|
Object Detection (HP)
|
98% |
1395
111.0 IPS |
|
|
Object Detection (Q)
|
83% |
1809
146.1 IPS |
|
|
Face Detection (SP)
|
100% |
2689
32.0 IPS |
|
|
Face Detection (HP)
|
100% |
2790
33.1 IPS |
|
|
Face Detection (Q)
|
95% |
4245
50.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
2758
21.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2712
21.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
4356
39.9 IPS |
|
|
Style Transfer (SP)
|
89% |
6769
8.79 IPS |
|
|
Style Transfer (HP)
|
89% |
6717
8.72 IPS |
|
|
Style Transfer (Q)
|
98% |
12742
16.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1391
51.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1389
51.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3097
114.8 IPS |
|
|
Text Classification (SP)
|
100% |
558
744.3 IPS |
|
|
Text Classification (HP)
|
99% |
587
783.8 IPS |
|
|
Text Classification (Q)
|
88% |
920
1.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
1211
20.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1223
21.1 IPS |
|
|
Machine Translation (Q)
|
50% |
565
20.1 IPS |
