Samsung Galaxy S24 Ultra
Geekbench AI Score
443
Single Precision Score
443
Half Precision Score
1028
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 13 2025 10:59 AM |
| Views | 2 |
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-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% |
262
48.7 IPS |
|
|
Image Classification (HP)
|
100% |
259
48.2 IPS |
|
|
Image Classification (Q)
|
99% |
671
125.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
318
5.15 IPS |
|
|
Image Segmentation (HP)
|
100% |
311
5.05 IPS |
|
|
Image Segmentation (Q)
|
98% |
664
10.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
435
0.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
465
0.54 IPS |
|
|
Pose Estimation (Q)
|
98% |
1839
2.15 IPS |
|
|
Object Detection (SP)
|
100% |
266
21.1 IPS |
|
|
Object Detection (HP)
|
100% |
267
21.2 IPS |
|
|
Object Detection (Q)
|
87% |
780
62.5 IPS |
|
|
Face Detection (SP)
|
100% |
652
7.75 IPS |
|
|
Face Detection (HP)
|
100% |
658
7.82 IPS |
|
|
Face Detection (Q)
|
97% |
1607
19.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
572
4.41 IPS |
|
|
Depth Estimation (HP)
|
99% |
579
4.46 IPS |
|
|
Depth Estimation (Q)
|
64% |
1351
12.3 IPS |
|
|
Style Transfer (SP)
|
100% |
936
1.20 IPS |
|
|
Style Transfer (HP)
|
100% |
891
1.15 IPS |
|
|
Style Transfer (Q)
|
98% |
2333
3.01 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
321
11.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
320
11.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1073
39.8 IPS |
|
|
Text Classification (SP)
|
100% |
426
568.5 IPS |
|
|
Text Classification (HP)
|
100% |
427
569.6 IPS |
|
|
Text Classification (Q)
|
91% |
692
929.5 IPS |
|
|
Machine Translation (SP)
|
100% |
646
11.1 IPS |
|
|
Machine Translation (HP)
|
100% |
636
11.0 IPS |
|
|
Machine Translation (Q)
|
57% |
551
13.5 IPS |
