Samsung Galaxy S24 Ultra
Geekbench AI Score
2473
Single Precision Score
2439
Half Precision Score
3431
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 28 2024 06:55 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
2359
438.8 IPS |
|
|
Image Classification (HP)
|
100% |
2405
447.2 IPS |
|
|
Image Classification (Q)
|
100% |
3536
657.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2761
44.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2714
44.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
4308
70.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4218
4.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
4087
4.77 IPS |
|
|
Pose Estimation (Q)
|
84% |
7902
9.37 IPS |
|
|
Object Detection (SP)
|
98% |
1693
134.7 IPS |
|
|
Object Detection (HP)
|
98% |
1554
123.7 IPS |
|
|
Object Detection (Q)
|
83% |
1325
107.0 IPS |
|
|
Face Detection (SP)
|
100% |
3453
41.0 IPS |
|
|
Face Detection (HP)
|
100% |
3447
41.0 IPS |
|
|
Face Detection (Q)
|
95% |
5407
64.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
3304
25.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3261
25.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
5476
50.2 IPS |
|
|
Style Transfer (SP)
|
89% |
8467
11.0 IPS |
|
|
Style Transfer (HP)
|
89% |
8450
11.0 IPS |
|
|
Style Transfer (Q)
|
98% |
15767
20.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1683
62.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1688
62.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3967
147.0 IPS |
|
|
Text Classification (SP)
|
100% |
746
995.3 IPS |
|
|
Text Classification (HP)
|
99% |
717
957.5 IPS |
|
|
Text Classification (Q)
|
88% |
1048
1.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
1522
26.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1566
27.0 IPS |
|
|
Machine Translation (Q)
|
50% |
731
26.0 IPS |
