Samsung Galaxy S24 Ultra
Geekbench AI Score
2814
Single Precision Score
2842
Half Precision Score
4515
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | December 10 2024 01:00 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 | 10.83 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2039
379.3 IPS |
|
|
Image Classification (HP)
|
100% |
2191
407.4 IPS |
|
|
Image Classification (Q)
|
100% |
3499
650.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2609
42.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2720
44.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4333
70.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4432
5.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
4254
4.96 IPS |
|
|
Pose Estimation (Q)
|
84% |
9958
11.8 IPS |
|
|
Object Detection (SP)
|
98% |
2160
171.9 IPS |
|
|
Object Detection (HP)
|
98% |
1983
157.8 IPS |
|
|
Object Detection (Q)
|
83% |
3438
277.7 IPS |
|
|
Face Detection (SP)
|
100% |
3875
46.0 IPS |
|
|
Face Detection (HP)
|
100% |
4016
47.7 IPS |
|
|
Face Detection (Q)
|
95% |
6622
79.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
4187
32.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4296
33.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
7108
65.1 IPS |
|
|
Style Transfer (SP)
|
89% |
10405
13.5 IPS |
|
|
Style Transfer (HP)
|
89% |
10302
13.4 IPS |
|
|
Style Transfer (Q)
|
98% |
21282
27.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2069
76.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2235
82.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5484
203.2 IPS |
|
|
Text Classification (SP)
|
100% |
969
1.29 KIPS |
|
|
Text Classification (HP)
|
99% |
971
1.30 KIPS |
|
|
Text Classification (Q)
|
88% |
1350
1.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
1807
31.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1776
30.6 IPS |
|
|
Machine Translation (Q)
|
50% |
915
32.5 IPS |
