Samsung Galaxy S24 Ultra
Geekbench AI Score
2673
Single Precision Score
2727
Half Precision Score
4153
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 13 2025 02:15 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
2089
388.5 IPS |
|
|
Image Classification (HP)
|
100% |
2475
460.3 IPS |
|
|
Image Classification (Q)
|
100% |
3489
648.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2797
45.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2799
45.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4400
71.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4354
5.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
4270
4.98 IPS |
|
|
Pose Estimation (Q)
|
84% |
9774
11.6 IPS |
|
|
Object Detection (SP)
|
98% |
2145
170.7 IPS |
|
|
Object Detection (HP)
|
98% |
2186
173.9 IPS |
|
|
Object Detection (Q)
|
83% |
3491
282.0 IPS |
|
|
Face Detection (SP)
|
100% |
4356
51.8 IPS |
|
|
Face Detection (HP)
|
100% |
4260
50.6 IPS |
|
|
Face Detection (Q)
|
95% |
7425
88.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
4067
31.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4048
31.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
5581
51.1 IPS |
|
|
Style Transfer (SP)
|
89% |
8451
11.0 IPS |
|
|
Style Transfer (HP)
|
89% |
8428
10.9 IPS |
|
|
Style Transfer (Q)
|
98% |
16055
20.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1685
62.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1743
64.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4045
149.9 IPS |
|
|
Text Classification (SP)
|
100% |
786
1.05 KIPS |
|
|
Text Classification (HP)
|
99% |
786
1.05 KIPS |
|
|
Text Classification (Q)
|
88% |
1177
1.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
1726
29.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1768
30.4 IPS |
|
|
Machine Translation (Q)
|
50% |
921
32.7 IPS |
