Samsung Galaxy S24 Ultra
Geekbench AI Score
351
Single Precision Score
350
Half Precision Score
773
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 15 2025 11:57 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Samsung Galaxy S24 Ultra |
| Model ID | samsung SM-S928U |
| 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% |
243
45.2 IPS |
|
|
Image Classification (HP)
|
100% |
236
43.9 IPS |
|
|
Image Classification (Q)
|
99% |
577
107.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
267
4.33 IPS |
|
|
Image Segmentation (HP)
|
100% |
268
4.35 IPS |
|
|
Image Segmentation (Q)
|
98% |
539
8.76 IPS |
|
|
Pose Estimation (SP)
|
100% |
367
0.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
366
0.43 IPS |
|
|
Pose Estimation (Q)
|
98% |
1390
1.63 IPS |
|
|
Object Detection (SP)
|
100% |
203
16.1 IPS |
|
|
Object Detection (HP)
|
100% |
204
16.2 IPS |
|
|
Object Detection (Q)
|
87% |
558
44.8 IPS |
|
|
Face Detection (SP)
|
100% |
511
6.08 IPS |
|
|
Face Detection (HP)
|
100% |
517
6.15 IPS |
|
|
Face Detection (Q)
|
97% |
1179
14.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
453
3.49 IPS |
|
|
Depth Estimation (HP)
|
99% |
454
3.50 IPS |
|
|
Depth Estimation (Q)
|
64% |
1026
9.31 IPS |
|
|
Style Transfer (SP)
|
100% |
737
0.95 IPS |
|
|
Style Transfer (HP)
|
100% |
736
0.95 IPS |
|
|
Style Transfer (Q)
|
98% |
1778
2.29 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
243
8.97 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
242
8.92 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
793
29.4 IPS |
|
|
Text Classification (SP)
|
100% |
290
387.3 IPS |
|
|
Text Classification (HP)
|
100% |
290
386.6 IPS |
|
|
Text Classification (Q)
|
91% |
477
641.5 IPS |
|
|
Machine Translation (SP)
|
100% |
496
8.54 IPS |
|
|
Machine Translation (HP)
|
100% |
495
8.53 IPS |
|
|
Machine Translation (Q)
|
57% |
389
9.50 IPS |
