Samsung Galaxy S24 Ultra
Geekbench AI Score
378
Single Precision Score
368
Half Precision Score
802
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 12 2025 12:30 PM |
| Views | 4 |
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% |
299
55.6 IPS |
|
|
Image Classification (HP)
|
100% |
300
55.8 IPS |
|
|
Image Classification (Q)
|
99% |
783
146.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
376
6.09 IPS |
|
|
Image Segmentation (HP)
|
100% |
380
6.16 IPS |
|
|
Image Segmentation (Q)
|
98% |
768
12.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
482
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
385
0.45 IPS |
|
|
Pose Estimation (Q)
|
98% |
1493
1.75 IPS |
|
|
Object Detection (SP)
|
100% |
237
18.8 IPS |
|
|
Object Detection (HP)
|
100% |
226
17.9 IPS |
|
|
Object Detection (Q)
|
87% |
596
47.8 IPS |
|
|
Face Detection (SP)
|
100% |
561
6.66 IPS |
|
|
Face Detection (HP)
|
100% |
553
6.57 IPS |
|
|
Face Detection (Q)
|
97% |
1218
14.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
468
3.61 IPS |
|
|
Depth Estimation (HP)
|
99% |
463
3.57 IPS |
|
|
Depth Estimation (Q)
|
64% |
1005
9.12 IPS |
|
|
Style Transfer (SP)
|
100% |
712
0.92 IPS |
|
|
Style Transfer (HP)
|
100% |
704
0.91 IPS |
|
|
Style Transfer (Q)
|
98% |
1603
2.07 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
215
7.95 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
215
7.93 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
711
26.4 IPS |
|
|
Text Classification (SP)
|
100% |
262
350.0 IPS |
|
|
Text Classification (HP)
|
100% |
270
359.9 IPS |
|
|
Text Classification (Q)
|
91% |
428
575.3 IPS |
|
|
Machine Translation (SP)
|
100% |
443
7.63 IPS |
|
|
Machine Translation (HP)
|
100% |
445
7.67 IPS |
|
|
Machine Translation (Q)
|
57% |
348
8.52 IPS |
