Samsung Galaxy S24 Ultra
Geekbench AI Score
2473
Single Precision Score
2425
Half Precision Score
3703
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | November 13 2025 11:13 PM |
| Views | 1 |
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% |
2045
380.3 IPS |
|
|
Image Classification (HP)
|
100% |
2383
443.2 IPS |
|
|
Image Classification (Q)
|
100% |
3854
716.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2609
42.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2676
43.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3755
61.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4288
5.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
3600
4.20 IPS |
|
|
Pose Estimation (Q)
|
84% |
8323
9.87 IPS |
|
|
Object Detection (SP)
|
98% |
1735
138.1 IPS |
|
|
Object Detection (HP)
|
98% |
1576
125.4 IPS |
|
|
Object Detection (Q)
|
83% |
2573
207.9 IPS |
|
|
Face Detection (SP)
|
100% |
3408
40.5 IPS |
|
|
Face Detection (HP)
|
100% |
3380
40.2 IPS |
|
|
Face Detection (Q)
|
95% |
5672
67.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
3442
26.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3456
26.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
5635
51.6 IPS |
|
|
Style Transfer (SP)
|
89% |
8695
11.3 IPS |
|
|
Style Transfer (HP)
|
89% |
8672
11.3 IPS |
|
|
Style Transfer (Q)
|
98% |
16410
21.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1816
67.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1817
67.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4144
153.5 IPS |
|
|
Text Classification (SP)
|
100% |
768
1.03 KIPS |
|
|
Text Classification (HP)
|
99% |
767
1.02 KIPS |
|
|
Text Classification (Q)
|
88% |
1077
1.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
1518
26.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1381
23.8 IPS |
|
|
Machine Translation (Q)
|
50% |
669
23.8 IPS |
