Samsung Galaxy S24 Ultra
Geekbench AI Score
2518
Single Precision Score
2530
Half Precision Score
3841
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | sam09966 |
| Upload Date | September 11 2024 08:02 PM |
| Views | 9 |
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-S928U |
| 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% |
1989
369.9 IPS |
|
|
Image Classification (HP)
|
100% |
2298
427.4 IPS |
|
|
Image Classification (Q)
|
100% |
3376
627.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2607
42.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2585
41.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4270
69.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4130
4.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
3997
4.66 IPS |
|
|
Pose Estimation (Q)
|
84% |
8353
9.91 IPS |
|
|
Object Detection (SP)
|
98% |
1577
125.5 IPS |
|
|
Object Detection (HP)
|
98% |
1560
124.1 IPS |
|
|
Object Detection (Q)
|
83% |
2054
165.9 IPS |
|
|
Face Detection (SP)
|
100% |
3158
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
3002
35.7 IPS |
|
|
Face Detection (Q)
|
95% |
5712
68.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
3766
29.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3756
29.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
5205
47.7 IPS |
|
|
Style Transfer (SP)
|
89% |
8964
11.6 IPS |
|
|
Style Transfer (HP)
|
89% |
9470
12.3 IPS |
|
|
Style Transfer (Q)
|
98% |
18570
23.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1935
71.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1869
69.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4242
157.2 IPS |
|
|
Text Classification (SP)
|
100% |
855
1.14 KIPS |
|
|
Text Classification (HP)
|
99% |
850
1.13 KIPS |
|
|
Text Classification (Q)
|
88% |
1311
1.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
1726
29.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1712
29.5 IPS |
|
|
Machine Translation (Q)
|
50% |
922
32.7 IPS |
