Samsung Galaxy S24 Ultra
Geekbench AI Score
1947
Single Precision Score
2027
Half Precision Score
2880
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | jedudvs |
| Upload Date | September 21 2024 10:21 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 | 10.83 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2123
394.9 IPS |
|
|
Image Classification (HP)
|
100% |
2280
424.1 IPS |
|
|
Image Classification (Q)
|
100% |
3220
598.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1419
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2452
39.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3688
60.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4098
4.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
3113
3.63 IPS |
|
|
Pose Estimation (Q)
|
84% |
5577
6.61 IPS |
|
|
Object Detection (SP)
|
98% |
1331
106.0 IPS |
|
|
Object Detection (HP)
|
98% |
1356
107.9 IPS |
|
|
Object Detection (Q)
|
83% |
1762
142.3 IPS |
|
|
Face Detection (SP)
|
100% |
2807
33.4 IPS |
|
|
Face Detection (HP)
|
100% |
2632
31.3 IPS |
|
|
Face Detection (Q)
|
95% |
4249
50.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
2828
21.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2752
21.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
4345
39.8 IPS |
|
|
Style Transfer (SP)
|
89% |
6712
8.71 IPS |
|
|
Style Transfer (HP)
|
89% |
6718
8.72 IPS |
|
|
Style Transfer (Q)
|
98% |
12334
15.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1383
51.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1415
52.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3084
114.3 IPS |
|
|
Text Classification (SP)
|
100% |
532
709.5 IPS |
|
|
Text Classification (HP)
|
99% |
587
783.9 IPS |
|
|
Text Classification (Q)
|
88% |
813
1.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
1219
21.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1232
21.2 IPS |
|
|
Machine Translation (Q)
|
50% |
590
20.9 IPS |
