Samsung Galaxy S24 Ultra
Geekbench AI Score
434
Single Precision Score
430
Half Precision Score
933
Quantized Score
Geekbench AI 1.5.0-Beta1 Corporate for Android AArch64
Result Information
| Upload Date | September 02 2025 05:17 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Samsung Galaxy S24 Ultra |
| Model ID | samsung SM-S928W |
| 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% |
304
56.6 IPS |
|
|
Image Classification (HP)
|
100% |
305
56.8 IPS |
|
|
Image Classification (Q)
|
99% |
792
147.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
389
6.30 IPS |
|
|
Image Segmentation (HP)
|
100% |
392
6.36 IPS |
|
|
Image Segmentation (Q)
|
98% |
786
12.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
531
0.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
511
0.60 IPS |
|
|
Pose Estimation (Q)
|
98% |
1636
1.92 IPS |
|
|
Object Detection (SP)
|
100% |
244
19.3 IPS |
|
|
Object Detection (HP)
|
100% |
249
19.8 IPS |
|
|
Object Detection (Q)
|
87% |
702
56.3 IPS |
|
|
Face Detection (SP)
|
100% |
635
7.55 IPS |
|
|
Face Detection (HP)
|
100% |
639
7.59 IPS |
|
|
Face Detection (Q)
|
97% |
1426
17.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
541
4.17 IPS |
|
|
Depth Estimation (HP)
|
99% |
499
3.84 IPS |
|
|
Depth Estimation (Q)
|
64% |
1117
10.1 IPS |
|
|
Style Transfer (SP)
|
100% |
789
1.01 IPS |
|
|
Style Transfer (HP)
|
100% |
762
0.98 IPS |
|
|
Style Transfer (Q)
|
98% |
1912
2.47 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
273
10.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
279
10.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
911
33.7 IPS |
|
|
Text Classification (SP)
|
100% |
344
458.8 IPS |
|
|
Text Classification (HP)
|
100% |
362
482.8 IPS |
|
|
Text Classification (Q)
|
91% |
589
791.5 IPS |
|
|
Machine Translation (SP)
|
100% |
614
10.6 IPS |
|
|
Machine Translation (HP)
|
100% |
586
10.1 IPS |
|
|
Machine Translation (Q)
|
57% |
430
10.5 IPS |
