Samsung Galaxy S24 Ultra
Geekbench AI Score
2390
Single Precision Score
2455
Half Precision Score
3443
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | andreicr1 |
| Upload Date | May 02 2025 08:26 PM |
| Views | 30 |
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-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% |
1769
328.9 IPS |
|
|
Image Classification (HP)
|
100% |
2418
449.6 IPS |
|
|
Image Classification (Q)
|
100% |
3459
643.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2535
41.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2656
43.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3956
64.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4359
5.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
3488
4.07 IPS |
|
|
Pose Estimation (Q)
|
84% |
7934
9.41 IPS |
|
|
Object Detection (SP)
|
98% |
1745
138.8 IPS |
|
|
Object Detection (HP)
|
98% |
1750
139.3 IPS |
|
|
Object Detection (Q)
|
83% |
2519
203.5 IPS |
|
|
Face Detection (SP)
|
100% |
3355
39.9 IPS |
|
|
Face Detection (HP)
|
100% |
3344
39.7 IPS |
|
|
Face Detection (Q)
|
95% |
5501
65.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
3427
26.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3446
26.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
5485
50.2 IPS |
|
|
Style Transfer (SP)
|
89% |
8133
10.6 IPS |
|
|
Style Transfer (HP)
|
89% |
8191
10.6 IPS |
|
|
Style Transfer (Q)
|
98% |
8405
10.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1677
61.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1768
65.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4012
148.7 IPS |
|
|
Text Classification (SP)
|
100% |
740
987.4 IPS |
|
|
Text Classification (HP)
|
99% |
748
998.5 IPS |
|
|
Text Classification (Q)
|
88% |
1054
1.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
1539
26.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1629
28.1 IPS |
|
|
Machine Translation (Q)
|
50% |
800
28.4 IPS |
