Samsung Galaxy S24 Ultra
Geekbench AI Score
2278
Single Precision Score
2318
Half Precision Score
3433
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 15 2025 01:16 AM |
| 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% |
1340
249.2 IPS |
|
|
Image Classification (HP)
|
100% |
1909
354.9 IPS |
|
|
Image Classification (Q)
|
100% |
2886
536.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2525
40.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2477
40.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3698
60.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3776
4.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
3592
4.19 IPS |
|
|
Pose Estimation (Q)
|
84% |
8367
9.92 IPS |
|
|
Object Detection (SP)
|
98% |
1803
143.5 IPS |
|
|
Object Detection (HP)
|
98% |
1590
126.5 IPS |
|
|
Object Detection (Q)
|
83% |
2332
188.4 IPS |
|
|
Face Detection (SP)
|
100% |
3433
40.8 IPS |
|
|
Face Detection (HP)
|
100% |
3376
40.1 IPS |
|
|
Face Detection (Q)
|
95% |
5700
68.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
3475
26.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3446
26.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
5788
53.0 IPS |
|
|
Style Transfer (SP)
|
89% |
8763
11.4 IPS |
|
|
Style Transfer (HP)
|
89% |
8827
11.5 IPS |
|
|
Style Transfer (Q)
|
98% |
14546
18.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1590
58.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1552
57.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3723
138.0 IPS |
|
|
Text Classification (SP)
|
100% |
684
912.9 IPS |
|
|
Text Classification (HP)
|
99% |
685
914.1 IPS |
|
|
Text Classification (Q)
|
88% |
962
1.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
1441
24.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1521
26.2 IPS |
|
|
Machine Translation (Q)
|
50% |
637
22.6 IPS |
