Samsung Galaxy S24 Ultra
Geekbench AI Score
1768
Single Precision Score
1896
Half Precision Score
2575
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 19 2025 05:24 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Samsung Galaxy S24 Ultra |
| Model ID | samsung SM-S928U |
| 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% |
1488
276.7 IPS |
|
|
Image Classification (HP)
|
100% |
2040
379.3 IPS |
|
|
Image Classification (Q)
|
100% |
1654
307.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2012
32.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2018
32.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3030
49.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2255
2.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
2814
3.28 IPS |
|
|
Pose Estimation (Q)
|
84% |
5936
7.04 IPS |
|
|
Object Detection (SP)
|
98% |
1185
94.3 IPS |
|
|
Object Detection (HP)
|
98% |
1333
106.1 IPS |
|
|
Object Detection (Q)
|
83% |
1670
134.9 IPS |
|
|
Face Detection (SP)
|
100% |
2732
32.5 IPS |
|
|
Face Detection (HP)
|
100% |
2668
31.7 IPS |
|
|
Face Detection (Q)
|
95% |
3975
47.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
2484
19.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2495
19.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
4108
37.6 IPS |
|
|
Style Transfer (SP)
|
89% |
6002
7.79 IPS |
|
|
Style Transfer (HP)
|
89% |
6502
8.44 IPS |
|
|
Style Transfer (Q)
|
98% |
11755
15.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1314
48.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1355
50.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2907
107.7 IPS |
|
|
Text Classification (SP)
|
100% |
549
732.6 IPS |
|
|
Text Classification (HP)
|
99% |
527
702.8 IPS |
|
|
Text Classification (Q)
|
88% |
780
1.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
1272
21.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1259
21.7 IPS |
|
|
Machine Translation (Q)
|
50% |
593
21.1 IPS |
