Samsung Galaxy S24 Ultra
Geekbench AI Score
518
Single Precision Score
519
Half Precision Score
1170
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 06 2025 01:11 AM |
| 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-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 | 10.83 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
316
58.8 IPS |
|
|
Image Classification (HP)
|
100% |
318
59.2 IPS |
|
|
Image Classification (Q)
|
99% |
826
154.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
407
6.59 IPS |
|
|
Image Segmentation (HP)
|
100% |
406
6.59 IPS |
|
|
Image Segmentation (Q)
|
98% |
821
13.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
565
0.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
552
0.64 IPS |
|
|
Pose Estimation (Q)
|
98% |
2126
2.49 IPS |
|
|
Object Detection (SP)
|
100% |
304
24.1 IPS |
|
|
Object Detection (HP)
|
100% |
306
24.3 IPS |
|
|
Object Detection (Q)
|
87% |
864
69.3 IPS |
|
|
Face Detection (SP)
|
100% |
765
9.09 IPS |
|
|
Face Detection (HP)
|
100% |
767
9.11 IPS |
|
|
Face Detection (Q)
|
97% |
1783
21.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
672
5.18 IPS |
|
|
Depth Estimation (HP)
|
99% |
673
5.19 IPS |
|
|
Depth Estimation (Q)
|
64% |
1567
14.2 IPS |
|
|
Style Transfer (SP)
|
100% |
1068
1.37 IPS |
|
|
Style Transfer (HP)
|
100% |
1066
1.37 IPS |
|
|
Style Transfer (Q)
|
98% |
2616
3.37 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
353
13.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
358
13.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1172
43.4 IPS |
|
|
Text Classification (SP)
|
100% |
455
607.0 IPS |
|
|
Text Classification (HP)
|
100% |
464
619.3 IPS |
|
|
Text Classification (Q)
|
91% |
743
999.0 IPS |
|
|
Machine Translation (SP)
|
100% |
723
12.5 IPS |
|
|
Machine Translation (HP)
|
100% |
719
12.4 IPS |
|
|
Machine Translation (Q)
|
57% |
609
14.9 IPS |
