Samsung Galaxy S24 Ultra
Geekbench AI Score
2352
Single Precision Score
2428
Half Precision Score
3597
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | August 30 2025 09:41 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
1375
255.7 IPS |
|
|
Image Classification (HP)
|
100% |
2376
441.8 IPS |
|
|
Image Classification (Q)
|
100% |
3076
572.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2531
41.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2528
41.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
4015
65.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4178
4.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
3468
4.05 IPS |
|
|
Pose Estimation (Q)
|
84% |
7931
9.41 IPS |
|
|
Object Detection (SP)
|
98% |
1735
138.1 IPS |
|
|
Object Detection (HP)
|
98% |
1732
137.8 IPS |
|
|
Object Detection (Q)
|
83% |
2489
201.1 IPS |
|
|
Face Detection (SP)
|
100% |
3374
40.1 IPS |
|
|
Face Detection (HP)
|
100% |
3365
40.0 IPS |
|
|
Face Detection (Q)
|
95% |
5472
65.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
3522
27.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3522
27.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
5508
50.4 IPS |
|
|
Style Transfer (SP)
|
89% |
8433
10.9 IPS |
|
|
Style Transfer (HP)
|
89% |
8399
10.9 IPS |
|
|
Style Transfer (Q)
|
98% |
15890
20.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1742
64.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1774
65.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3959
146.7 IPS |
|
|
Text Classification (SP)
|
100% |
750
1.00 KIPS |
|
|
Text Classification (HP)
|
99% |
748
998.1 IPS |
|
|
Text Classification (Q)
|
88% |
1139
1.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
1572
27.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1497
25.8 IPS |
|
|
Machine Translation (Q)
|
50% |
690
24.5 IPS |
