Samsung Galaxy S24 Ultra
Geekbench AI Score
1068
Single Precision Score
1687
Half Precision Score
1590
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 17 2024 12:51 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
981
182.5 IPS |
|
|
Image Classification (HP)
|
100% |
1566
291.3 IPS |
|
|
Image Classification (Q)
|
96% |
1528
285.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1466
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2416
39.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2578
41.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1040
1.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
1983
2.31 IPS |
|
|
Pose Estimation (Q)
|
96% |
1909
2.24 IPS |
|
|
Object Detection (SP)
|
100% |
575
45.6 IPS |
|
|
Object Detection (HP)
|
100% |
813
64.5 IPS |
|
|
Object Detection (Q)
|
87% |
836
67.1 IPS |
|
|
Face Detection (SP)
|
100% |
2316
27.5 IPS |
|
|
Face Detection (HP)
|
100% |
3455
41.1 IPS |
|
|
Face Detection (Q)
|
97% |
1701
20.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1485
11.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3031
23.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
2384
22.1 IPS |
|
|
Style Transfer (SP)
|
100% |
4960
6.38 IPS |
|
|
Style Transfer (HP)
|
100% |
8676
11.2 IPS |
|
|
Style Transfer (Q)
|
98% |
8610
11.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
424
15.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1092
40.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1090
40.4 IPS |
|
|
Text Classification (SP)
|
100% |
452
603.0 IPS |
|
|
Text Classification (HP)
|
100% |
454
606.2 IPS |
|
|
Text Classification (Q)
|
91% |
738
991.9 IPS |
|
|
Machine Translation (SP)
|
100% |
693
11.9 IPS |
|
|
Machine Translation (HP)
|
100% |
680
11.7 IPS |
|
|
Machine Translation (Q)
|
57% |
586
14.3 IPS |
