Samsung Galaxy S24 Ultra
Geekbench AI Score
456
Single Precision Score
449
Half Precision Score
1010
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| Upload Date | December 25 2024 12:14 AM |
| Views | 2 |
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% |
292
54.3 IPS |
|
|
Image Classification (HP)
|
100% |
292
54.4 IPS |
|
|
Image Classification (Q)
|
97% |
767
143.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
374
6.07 IPS |
|
|
Image Segmentation (HP)
|
100% |
377
6.12 IPS |
|
|
Image Segmentation (Q)
|
98% |
766
12.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
502
0.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
494
0.58 IPS |
|
|
Pose Estimation (Q)
|
98% |
1900
2.22 IPS |
|
|
Object Detection (SP)
|
100% |
267
21.2 IPS |
|
|
Object Detection (HP)
|
100% |
262
20.8 IPS |
|
|
Object Detection (Q)
|
89% |
743
59.5 IPS |
|
|
Face Detection (SP)
|
100% |
665
7.90 IPS |
|
|
Face Detection (HP)
|
100% |
673
8.00 IPS |
|
|
Face Detection (Q)
|
97% |
1516
18.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
600
4.62 IPS |
|
|
Depth Estimation (HP)
|
100% |
569
4.39 IPS |
|
|
Depth Estimation (Q)
|
73% |
1400
11.4 IPS |
|
|
Style Transfer (SP)
|
100% |
904
1.16 IPS |
|
|
Style Transfer (HP)
|
100% |
861
1.11 IPS |
|
|
Style Transfer (Q)
|
98% |
2054
2.65 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
316
11.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
311
11.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1002
37.1 IPS |
|
|
Text Classification (SP)
|
100% |
360
481.1 IPS |
|
|
Text Classification (HP)
|
100% |
363
484.2 IPS |
|
|
Text Classification (Q)
|
91% |
620
833.6 IPS |
|
|
Machine Translation (SP)
|
100% |
653
11.2 IPS |
|
|
Machine Translation (HP)
|
100% |
628
10.8 IPS |
|
|
Machine Translation (Q)
|
57% |
495
12.1 IPS |
