Samsung Galaxy S24 Ultra
Geekbench AI Score
2772
Single Precision Score
2789
Half Precision Score
4469
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 13 2025 09:36 AM |
| Views | 3 |
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% |
2343
435.7 IPS |
|
|
Image Classification (HP)
|
100% |
2305
428.7 IPS |
|
|
Image Classification (Q)
|
100% |
3570
663.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2648
42.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2569
41.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4225
68.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4141
4.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
4055
4.73 IPS |
|
|
Pose Estimation (Q)
|
84% |
9473
11.2 IPS |
|
|
Object Detection (SP)
|
98% |
1943
154.6 IPS |
|
|
Object Detection (HP)
|
98% |
2097
166.9 IPS |
|
|
Object Detection (Q)
|
83% |
3195
258.1 IPS |
|
|
Face Detection (SP)
|
100% |
4179
49.7 IPS |
|
|
Face Detection (HP)
|
100% |
4150
49.3 IPS |
|
|
Face Detection (Q)
|
95% |
7215
86.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
3899
30.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3824
29.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
6578
60.2 IPS |
|
|
Style Transfer (SP)
|
89% |
10135
13.2 IPS |
|
|
Style Transfer (HP)
|
89% |
10026
13.0 IPS |
|
|
Style Transfer (Q)
|
98% |
20149
26.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1960
72.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2084
77.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5029
186.4 IPS |
|
|
Text Classification (SP)
|
100% |
932
1.24 KIPS |
|
|
Text Classification (HP)
|
99% |
993
1.33 KIPS |
|
|
Text Classification (Q)
|
88% |
1634
2.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
1784
30.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1723
29.7 IPS |
|
|
Machine Translation (Q)
|
50% |
886
31.4 IPS |
