Samsung Galaxy S24 Ultra
Geekbench AI Score
474
Single Precision Score
475
Half Precision Score
1096
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | blackzenowl |
| Upload Date | September 23 2024 07:50 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
299
55.7 IPS |
|
|
Image Classification (HP)
|
100% |
295
54.9 IPS |
|
|
Image Classification (Q)
|
99% |
785
146.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
370
6.00 IPS |
|
|
Image Segmentation (HP)
|
100% |
375
6.08 IPS |
|
|
Image Segmentation (Q)
|
98% |
769
12.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
502
0.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
492
0.57 IPS |
|
|
Pose Estimation (Q)
|
98% |
1949
2.28 IPS |
|
|
Object Detection (SP)
|
100% |
279
22.1 IPS |
|
|
Object Detection (HP)
|
100% |
283
22.4 IPS |
|
|
Object Detection (Q)
|
87% |
807
64.7 IPS |
|
|
Face Detection (SP)
|
100% |
687
8.16 IPS |
|
|
Face Detection (HP)
|
100% |
692
8.23 IPS |
|
|
Face Detection (Q)
|
97% |
1648
19.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
599
4.62 IPS |
|
|
Depth Estimation (HP)
|
99% |
604
4.65 IPS |
|
|
Depth Estimation (Q)
|
64% |
1453
13.2 IPS |
|
|
Style Transfer (SP)
|
100% |
979
1.26 IPS |
|
|
Style Transfer (HP)
|
100% |
973
1.25 IPS |
|
|
Style Transfer (Q)
|
98% |
2438
3.14 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
322
11.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
325
12.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1106
41.0 IPS |
|
|
Text Classification (SP)
|
100% |
430
574.2 IPS |
|
|
Text Classification (HP)
|
100% |
438
584.1 IPS |
|
|
Text Classification (Q)
|
91% |
716
962.4 IPS |
|
|
Machine Translation (SP)
|
100% |
670
11.5 IPS |
|
|
Machine Translation (HP)
|
100% |
665
11.5 IPS |
|
|
Machine Translation (Q)
|
57% |
573
14.0 IPS |
