Samsung Galaxy S24 Ultra
Geekbench AI Score
2038
Single Precision Score
1999
Half Precision Score
3020
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 16 2025 11:10 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% |
1883
350.2 IPS |
|
|
Image Classification (HP)
|
100% |
1956
363.8 IPS |
|
|
Image Classification (Q)
|
100% |
2824
525.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2319
37.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2300
37.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3294
53.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3261
3.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
2981
3.48 IPS |
|
|
Pose Estimation (Q)
|
84% |
6848
8.12 IPS |
|
|
Object Detection (SP)
|
98% |
1424
113.4 IPS |
|
|
Object Detection (HP)
|
98% |
1349
107.3 IPS |
|
|
Object Detection (Q)
|
83% |
1860
150.2 IPS |
|
|
Face Detection (SP)
|
100% |
2880
34.2 IPS |
|
|
Face Detection (HP)
|
100% |
2898
34.4 IPS |
|
|
Face Detection (Q)
|
95% |
4521
54.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
2653
20.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2547
19.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
4630
42.4 IPS |
|
|
Style Transfer (SP)
|
89% |
7253
9.42 IPS |
|
|
Style Transfer (HP)
|
89% |
7159
9.29 IPS |
|
|
Style Transfer (Q)
|
98% |
13804
17.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1361
50.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1382
51.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3462
128.3 IPS |
|
|
Text Classification (SP)
|
100% |
631
841.6 IPS |
|
|
Text Classification (HP)
|
99% |
633
844.9 IPS |
|
|
Text Classification (Q)
|
88% |
900
1.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
1286
22.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1220
21.0 IPS |
|
|
Machine Translation (Q)
|
50% |
592
21.0 IPS |
