Samsung Galaxy S24 Ultra
Geekbench AI Score
2779
Single Precision Score
2812
Half Precision Score
4113
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | December 31 2025 06:48 AM |
| Views | 14 |
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-S928U1 |
| 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% |
1914
356.0 IPS |
|
|
Image Classification (HP)
|
100% |
1941
360.9 IPS |
|
|
Image Classification (Q)
|
100% |
2855
530.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1975
32.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2477
40.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3986
64.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4589
5.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
4620
5.39 IPS |
|
|
Pose Estimation (Q)
|
84% |
10441
12.4 IPS |
|
|
Object Detection (SP)
|
98% |
2179
173.4 IPS |
|
|
Object Detection (HP)
|
98% |
1944
154.7 IPS |
|
|
Object Detection (Q)
|
83% |
3070
247.9 IPS |
|
|
Face Detection (SP)
|
100% |
4179
49.7 IPS |
|
|
Face Detection (HP)
|
100% |
4153
49.4 IPS |
|
|
Face Detection (Q)
|
95% |
6700
80.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
4498
34.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4427
34.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
6355
58.2 IPS |
|
|
Style Transfer (SP)
|
89% |
10833
14.1 IPS |
|
|
Style Transfer (HP)
|
89% |
10730
13.9 IPS |
|
|
Style Transfer (Q)
|
98% |
18521
23.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2117
78.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2186
80.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4870
180.4 IPS |
|
|
Text Classification (SP)
|
100% |
900
1.20 KIPS |
|
|
Text Classification (HP)
|
99% |
897
1.20 KIPS |
|
|
Text Classification (Q)
|
88% |
1272
1.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
1880
32.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1852
31.9 IPS |
|
|
Machine Translation (Q)
|
50% |
779
27.7 IPS |
