Samsung Galaxy S24 Ultra
Geekbench AI Score
379
Single Precision Score
367
Half Precision Score
821
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 20 2025 01:46 AM |
| Views | 1 |
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-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% |
300
55.8 IPS |
|
|
Image Classification (HP)
|
100% |
302
56.2 IPS |
|
|
Image Classification (Q)
|
99% |
788
147.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
380
6.16 IPS |
|
|
Image Segmentation (HP)
|
100% |
381
6.18 IPS |
|
|
Image Segmentation (Q)
|
98% |
777
12.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
504
0.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
362
0.42 IPS |
|
|
Pose Estimation (Q)
|
98% |
1421
1.66 IPS |
|
|
Object Detection (SP)
|
100% |
198
15.7 IPS |
|
|
Object Detection (HP)
|
100% |
197
15.7 IPS |
|
|
Object Detection (Q)
|
87% |
550
44.1 IPS |
|
|
Face Detection (SP)
|
100% |
515
6.12 IPS |
|
|
Face Detection (HP)
|
100% |
509
6.05 IPS |
|
|
Face Detection (Q)
|
97% |
1164
13.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
446
3.44 IPS |
|
|
Depth Estimation (HP)
|
99% |
446
3.44 IPS |
|
|
Depth Estimation (Q)
|
64% |
1003
9.10 IPS |
|
|
Style Transfer (SP)
|
100% |
725
0.93 IPS |
|
|
Style Transfer (HP)
|
100% |
726
0.93 IPS |
|
|
Style Transfer (Q)
|
98% |
1734
2.24 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
239
8.83 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
239
8.82 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
787
29.2 IPS |
|
|
Text Classification (SP)
|
100% |
287
382.6 IPS |
|
|
Text Classification (HP)
|
100% |
291
388.2 IPS |
|
|
Text Classification (Q)
|
91% |
477
641.1 IPS |
|
|
Machine Translation (SP)
|
100% |
481
8.29 IPS |
|
|
Machine Translation (HP)
|
100% |
484
8.35 IPS |
|
|
Machine Translation (Q)
|
57% |
385
9.40 IPS |
