Samsung Galaxy S24 Ultra
Geekbench AI Score
327
Single Precision Score
324
Half Precision Score
717
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | tobbyng |
| Upload Date | December 27 2025 01:47 AM |
| Views | 6 |
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-S9280 |
| 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% |
193
35.8 IPS |
|
|
Image Classification (HP)
|
100% |
183
33.9 IPS |
|
|
Image Classification (Q)
|
99% |
465
86.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
235
3.82 IPS |
|
|
Image Segmentation (HP)
|
100% |
238
3.86 IPS |
|
|
Image Segmentation (Q)
|
98% |
464
7.55 IPS |
|
|
Pose Estimation (SP)
|
100% |
348
0.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
337
0.39 IPS |
|
|
Pose Estimation (Q)
|
98% |
1247
1.46 IPS |
|
|
Object Detection (SP)
|
100% |
184
14.6 IPS |
|
|
Object Detection (HP)
|
100% |
185
14.6 IPS |
|
|
Object Detection (Q)
|
87% |
506
40.6 IPS |
|
|
Face Detection (SP)
|
100% |
454
5.39 IPS |
|
|
Face Detection (HP)
|
100% |
467
5.54 IPS |
|
|
Face Detection (Q)
|
97% |
1047
12.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
409
3.15 IPS |
|
|
Depth Estimation (HP)
|
99% |
414
3.19 IPS |
|
|
Depth Estimation (Q)
|
64% |
949
8.61 IPS |
|
|
Style Transfer (SP)
|
100% |
672
0.86 IPS |
|
|
Style Transfer (HP)
|
100% |
663
0.85 IPS |
|
|
Style Transfer (Q)
|
98% |
1612
2.08 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
248
9.16 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
247
9.12 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
824
30.5 IPS |
|
|
Text Classification (SP)
|
100% |
308
411.0 IPS |
|
|
Text Classification (HP)
|
100% |
310
414.4 IPS |
|
|
Text Classification (Q)
|
91% |
497
667.6 IPS |
|
|
Machine Translation (SP)
|
100% |
508
8.76 IPS |
|
|
Machine Translation (HP)
|
100% |
489
8.43 IPS |
|
|
Machine Translation (Q)
|
57% |
404
9.88 IPS |
