Samsung Galaxy S24 Ultra
Geekbench AI Score
2499
Single Precision Score
2555
Half Precision Score
3873
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | Tomcat61 |
| Upload Date | September 08 2024 12:19 PM |
| Views | 4 |
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% |
2019
375.4 IPS |
|
|
Image Classification (HP)
|
100% |
1710
318.0 IPS |
|
|
Image Classification (Q)
|
100% |
1577
293.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2223
36.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2235
36.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3442
56.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3678
4.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
4072
4.75 IPS |
|
|
Pose Estimation (Q)
|
84% |
9531
11.3 IPS |
|
|
Object Detection (SP)
|
98% |
2017
160.5 IPS |
|
|
Object Detection (HP)
|
98% |
2020
160.7 IPS |
|
|
Object Detection (Q)
|
87% |
2992
240.3 IPS |
|
|
Face Detection (SP)
|
100% |
3741
44.4 IPS |
|
|
Face Detection (HP)
|
100% |
3885
46.2 IPS |
|
|
Face Detection (Q)
|
95% |
6548
78.2 IPS |
|
|
Depth Estimation (SP)
|
98% |
2783
21.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4029
31.1 IPS |
|
|
Depth Estimation (Q)
|
75% |
7497
60.8 IPS |
|
|
Style Transfer (SP)
|
89% |
9658
12.5 IPS |
|
|
Style Transfer (HP)
|
89% |
9612
12.5 IPS |
|
|
Style Transfer (Q)
|
98% |
18842
24.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2032
75.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2052
75.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4814
178.4 IPS |
|
|
Text Classification (SP)
|
100% |
820
1.10 KIPS |
|
|
Text Classification (HP)
|
99% |
736
982.5 IPS |
|
|
Text Classification (Q)
|
88% |
1215
1.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
1704
29.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1662
28.6 IPS |
|
|
Machine Translation (Q)
|
50% |
907
32.2 IPS |
