Samsung Galaxy S24 Ultra
Geekbench AI Score
516
Single Precision Score
515
Half Precision Score
1158
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 25 2025 04:01 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-S928N |
| 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% |
317
58.9 IPS |
|
|
Image Classification (HP)
|
100% |
313
58.2 IPS |
|
|
Image Classification (Q)
|
99% |
815
152.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
399
6.47 IPS |
|
|
Image Segmentation (HP)
|
100% |
399
6.46 IPS |
|
|
Image Segmentation (Q)
|
98% |
806
13.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
546
0.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
540
0.63 IPS |
|
|
Pose Estimation (Q)
|
98% |
2044
2.39 IPS |
|
|
Object Detection (SP)
|
100% |
299
23.7 IPS |
|
|
Object Detection (HP)
|
100% |
301
23.9 IPS |
|
|
Object Detection (Q)
|
87% |
850
68.2 IPS |
|
|
Face Detection (SP)
|
100% |
757
8.99 IPS |
|
|
Face Detection (HP)
|
100% |
755
8.98 IPS |
|
|
Face Detection (Q)
|
97% |
1743
20.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
673
5.19 IPS |
|
|
Depth Estimation (HP)
|
99% |
676
5.21 IPS |
|
|
Depth Estimation (Q)
|
64% |
1572
14.3 IPS |
|
|
Style Transfer (SP)
|
100% |
1074
1.38 IPS |
|
|
Style Transfer (HP)
|
100% |
1076
1.38 IPS |
|
|
Style Transfer (Q)
|
98% |
2635
3.40 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
359
13.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
358
13.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1184
43.9 IPS |
|
|
Text Classification (SP)
|
100% |
461
614.9 IPS |
|
|
Text Classification (HP)
|
100% |
461
615.5 IPS |
|
|
Text Classification (Q)
|
91% |
743
998.7 IPS |
|
|
Machine Translation (SP)
|
100% |
723
12.5 IPS |
|
|
Machine Translation (HP)
|
100% |
720
12.4 IPS |
|
|
Machine Translation (Q)
|
57% |
603
14.7 IPS |
