Samsung Galaxy S24 Ultra
Geekbench AI Score
406
Single Precision Score
391
Half Precision Score
861
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 15 2025 11:45 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% |
310
57.6 IPS |
|
|
Image Classification (HP)
|
100% |
306
56.9 IPS |
|
|
Image Classification (Q)
|
99% |
798
148.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
382
6.19 IPS |
|
|
Image Segmentation (HP)
|
100% |
387
6.27 IPS |
|
|
Image Segmentation (Q)
|
98% |
784
12.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
520
0.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
436
0.51 IPS |
|
|
Pose Estimation (Q)
|
98% |
1520
1.78 IPS |
|
|
Object Detection (SP)
|
100% |
230
18.3 IPS |
|
|
Object Detection (HP)
|
100% |
233
18.5 IPS |
|
|
Object Detection (Q)
|
87% |
641
51.4 IPS |
|
|
Face Detection (SP)
|
100% |
586
6.96 IPS |
|
|
Face Detection (HP)
|
100% |
563
6.69 IPS |
|
|
Face Detection (Q)
|
97% |
1268
15.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
487
3.75 IPS |
|
|
Depth Estimation (HP)
|
99% |
460
3.55 IPS |
|
|
Depth Estimation (Q)
|
64% |
1024
9.29 IPS |
|
|
Style Transfer (SP)
|
100% |
741
0.95 IPS |
|
|
Style Transfer (HP)
|
100% |
736
0.95 IPS |
|
|
Style Transfer (Q)
|
98% |
1779
2.29 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
249
9.21 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
242
8.93 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
821
30.4 IPS |
|
|
Text Classification (SP)
|
100% |
303
404.9 IPS |
|
|
Text Classification (HP)
|
100% |
302
402.7 IPS |
|
|
Text Classification (Q)
|
91% |
493
662.2 IPS |
|
|
Machine Translation (SP)
|
100% |
546
9.40 IPS |
|
|
Machine Translation (HP)
|
100% |
507
8.74 IPS |
|
|
Machine Translation (Q)
|
57% |
394
9.62 IPS |
