Samsung Galaxy S24 Ultra
Geekbench AI Score
2486
Single Precision Score
2490
Half Precision Score
3738
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 04 2025 05:15 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
2022
376.1 IPS |
|
|
Image Classification (HP)
|
100% |
2394
445.3 IPS |
|
|
Image Classification (Q)
|
100% |
3539
658.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2641
42.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2577
41.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4465
72.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4304
5.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
4314
5.03 IPS |
|
|
Pose Estimation (Q)
|
84% |
8329
9.88 IPS |
|
|
Object Detection (SP)
|
98% |
1795
142.9 IPS |
|
|
Object Detection (HP)
|
98% |
1802
143.4 IPS |
|
|
Object Detection (Q)
|
83% |
2342
189.2 IPS |
|
|
Face Detection (SP)
|
100% |
3509
41.7 IPS |
|
|
Face Detection (HP)
|
100% |
3416
40.6 IPS |
|
|
Face Detection (Q)
|
95% |
5491
65.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
3509
27.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3297
25.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
5702
52.2 IPS |
|
|
Style Transfer (SP)
|
89% |
8789
11.4 IPS |
|
|
Style Transfer (HP)
|
89% |
8757
11.4 IPS |
|
|
Style Transfer (Q)
|
98% |
16719
21.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1766
65.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1740
64.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4236
157.0 IPS |
|
|
Text Classification (SP)
|
100% |
721
962.5 IPS |
|
|
Text Classification (HP)
|
99% |
721
962.9 IPS |
|
|
Text Classification (Q)
|
88% |
1089
1.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
1591
27.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1550
26.7 IPS |
|
|
Machine Translation (Q)
|
50% |
717
25.5 IPS |
