Samsung Galaxy S24 Ultra
Geekbench AI Score
2643
Single Precision Score
2598
Half Precision Score
4040
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 20 2025 11:25 AM |
| 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-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% |
2170
403.5 IPS |
|
|
Image Classification (HP)
|
100% |
2250
418.4 IPS |
|
|
Image Classification (Q)
|
100% |
3528
656.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2624
42.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2692
43.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4045
65.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4299
5.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
4106
4.79 IPS |
|
|
Pose Estimation (Q)
|
84% |
9780
11.6 IPS |
|
|
Object Detection (SP)
|
98% |
2132
169.7 IPS |
|
|
Object Detection (HP)
|
98% |
2066
164.4 IPS |
|
|
Object Detection (Q)
|
83% |
3305
267.0 IPS |
|
|
Face Detection (SP)
|
100% |
3964
47.1 IPS |
|
|
Face Detection (HP)
|
100% |
3870
46.0 IPS |
|
|
Face Detection (Q)
|
95% |
7052
84.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
4062
31.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3868
29.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
6304
57.7 IPS |
|
|
Style Transfer (SP)
|
89% |
9349
12.1 IPS |
|
|
Style Transfer (HP)
|
89% |
9223
12.0 IPS |
|
|
Style Transfer (Q)
|
98% |
15575
20.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1651
61.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1665
61.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3937
145.9 IPS |
|
|
Text Classification (SP)
|
100% |
772
1.03 KIPS |
|
|
Text Classification (HP)
|
99% |
769
1.03 KIPS |
|
|
Text Classification (Q)
|
88% |
1255
1.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
1662
28.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1548
26.7 IPS |
|
|
Machine Translation (Q)
|
50% |
734
26.1 IPS |
