Samsung Galaxy S24 Ultra
Geekbench AI Score
2472
Single Precision Score
2594
Half Precision Score
3984
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | sabriaga |
| Upload Date | September 10 2025 09:17 PM |
| Views | 13 |
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% |
1154
214.5 IPS |
|
|
Image Classification (HP)
|
100% |
2361
439.1 IPS |
|
|
Image Classification (Q)
|
100% |
2940
546.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2603
42.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2726
44.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4271
69.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4434
5.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
4150
4.84 IPS |
|
|
Pose Estimation (Q)
|
84% |
9917
11.8 IPS |
|
|
Object Detection (SP)
|
98% |
2104
167.5 IPS |
|
|
Object Detection (HP)
|
98% |
2147
170.9 IPS |
|
|
Object Detection (Q)
|
83% |
2842
229.6 IPS |
|
|
Face Detection (SP)
|
100% |
3935
46.8 IPS |
|
|
Face Detection (HP)
|
100% |
3952
47.0 IPS |
|
|
Face Detection (Q)
|
95% |
6842
81.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
4121
31.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4084
31.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
7105
65.1 IPS |
|
|
Style Transfer (SP)
|
89% |
9418
12.2 IPS |
|
|
Style Transfer (HP)
|
89% |
9476
12.3 IPS |
|
|
Style Transfer (Q)
|
98% |
16407
21.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1693
62.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1673
61.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4153
153.9 IPS |
|
|
Text Classification (SP)
|
100% |
720
960.9 IPS |
|
|
Text Classification (HP)
|
99% |
763
1.02 KIPS |
|
|
Text Classification (Q)
|
88% |
1152
1.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
1639
28.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1234
21.3 IPS |
|
|
Machine Translation (Q)
|
50% |
746
26.5 IPS |
