Samsung Galaxy S24 Ultra
Geekbench AI Score
441
Single Precision Score
430
Half Precision Score
956
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | crisss1205 |
| Upload Date | August 15 2024 11:19 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy S24 Ultra |
| Model ID | samsung SM-S928U1 |
| 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% |
296
55.1 IPS |
|
|
Image Classification (HP)
|
100% |
290
53.9 IPS |
|
|
Image Classification (Q)
|
97% |
754
140.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
371
6.02 IPS |
|
|
Image Segmentation (HP)
|
100% |
367
5.95 IPS |
|
|
Image Segmentation (Q)
|
98% |
690
11.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
468
0.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
400
0.47 IPS |
|
|
Pose Estimation (Q)
|
98% |
1596
1.87 IPS |
|
|
Object Detection (SP)
|
100% |
245
19.5 IPS |
|
|
Object Detection (HP)
|
100% |
242
19.2 IPS |
|
|
Object Detection (Q)
|
89% |
684
54.8 IPS |
|
|
Face Detection (SP)
|
100% |
637
7.57 IPS |
|
|
Face Detection (HP)
|
100% |
639
7.59 IPS |
|
|
Face Detection (Q)
|
97% |
1429
17.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
560
4.31 IPS |
|
|
Depth Estimation (HP)
|
100% |
543
4.18 IPS |
|
|
Depth Estimation (Q)
|
73% |
1247
10.2 IPS |
|
|
Style Transfer (SP)
|
100% |
838
1.08 IPS |
|
|
Style Transfer (HP)
|
100% |
845
1.09 IPS |
|
|
Style Transfer (Q)
|
98% |
2061
2.66 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
298
11.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
299
11.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1003
37.2 IPS |
|
|
Text Classification (SP)
|
100% |
378
505.2 IPS |
|
|
Text Classification (HP)
|
100% |
378
504.1 IPS |
|
|
Text Classification (Q)
|
91% |
601
807.8 IPS |
|
|
Machine Translation (SP)
|
100% |
661
11.4 IPS |
|
|
Machine Translation (HP)
|
100% |
640
11.0 IPS |
|
|
Machine Translation (Q)
|
57% |
510
12.5 IPS |
