Samsung Galaxy S24 Ultra
Geekbench AI Score
2419
Single Precision Score
2485
Half Precision Score
3798
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 19 2024 07:23 PM |
| Views | 1 |
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 | 10.81 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2028
377.2 IPS |
|
|
Image Classification (HP)
|
100% |
2416
449.2 IPS |
|
|
Image Classification (Q)
|
100% |
3418
635.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2569
41.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2594
42.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4440
72.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4368
5.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
4018
4.69 IPS |
|
|
Pose Estimation (Q)
|
84% |
8391
9.95 IPS |
|
|
Object Detection (SP)
|
98% |
1720
136.9 IPS |
|
|
Object Detection (HP)
|
98% |
1713
136.3 IPS |
|
|
Object Detection (Q)
|
83% |
2545
205.6 IPS |
|
|
Face Detection (SP)
|
100% |
3067
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
3473
41.3 IPS |
|
|
Face Detection (Q)
|
95% |
5675
67.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
3279
25.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3238
25.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
5760
52.8 IPS |
|
|
Style Transfer (SP)
|
89% |
8782
11.4 IPS |
|
|
Style Transfer (HP)
|
89% |
8793
11.4 IPS |
|
|
Style Transfer (Q)
|
98% |
16944
21.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1747
64.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1742
64.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4187
155.2 IPS |
|
|
Text Classification (SP)
|
100% |
727
969.8 IPS |
|
|
Text Classification (HP)
|
99% |
734
980.2 IPS |
|
|
Text Classification (Q)
|
88% |
1099
1.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
1566
27.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1647
28.4 IPS |
|
|
Machine Translation (Q)
|
50% |
758
26.9 IPS |
