Samsung Galaxy S24 Ultra
Geekbench AI Score
2386
Single Precision Score
2461
Half Precision Score
3287
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 16 2025 10:18 PM |
| Views | 1 |
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-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% |
1720
319.9 IPS |
|
|
Image Classification (HP)
|
100% |
2374
441.4 IPS |
|
|
Image Classification (Q)
|
100% |
3371
627.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2734
44.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2630
42.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4344
70.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4347
5.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
3975
4.64 IPS |
|
|
Pose Estimation (Q)
|
84% |
8382
9.94 IPS |
|
|
Object Detection (SP)
|
98% |
1744
138.8 IPS |
|
|
Object Detection (HP)
|
98% |
1751
139.3 IPS |
|
|
Object Detection (Q)
|
83% |
2530
204.4 IPS |
|
|
Face Detection (SP)
|
100% |
3406
40.5 IPS |
|
|
Face Detection (HP)
|
100% |
3260
38.7 IPS |
|
|
Face Detection (Q)
|
95% |
1367
16.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
2995
23.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3437
26.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
5785
53.0 IPS |
|
|
Style Transfer (SP)
|
89% |
8694
11.3 IPS |
|
|
Style Transfer (HP)
|
89% |
8683
11.3 IPS |
|
|
Style Transfer (Q)
|
98% |
16702
21.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1696
62.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1745
64.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4168
154.4 IPS |
|
|
Text Classification (SP)
|
100% |
720
961.1 IPS |
|
|
Text Classification (HP)
|
99% |
732
976.6 IPS |
|
|
Text Classification (Q)
|
88% |
1175
1.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
1550
26.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1512
26.0 IPS |
|
|
Machine Translation (Q)
|
50% |
734
26.1 IPS |
