Samsung Galaxy S24 Ultra
Geekbench AI Score
2338
Single Precision Score
2390
Half Precision Score
3459
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 31 2025 01:15 PM |
| Views | 1 |
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-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% |
1701
316.2 IPS |
|
|
Image Classification (HP)
|
100% |
2047
380.8 IPS |
|
|
Image Classification (Q)
|
100% |
3063
569.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2271
36.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2203
35.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3047
49.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3693
4.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
3464
4.04 IPS |
|
|
Pose Estimation (Q)
|
84% |
7886
9.35 IPS |
|
|
Object Detection (SP)
|
98% |
1718
136.7 IPS |
|
|
Object Detection (HP)
|
98% |
1733
137.9 IPS |
|
|
Object Detection (Q)
|
83% |
2485
200.7 IPS |
|
|
Face Detection (SP)
|
100% |
3384
40.2 IPS |
|
|
Face Detection (HP)
|
100% |
3385
40.2 IPS |
|
|
Face Detection (Q)
|
95% |
3777
45.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
3236
25.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3488
27.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
5573
51.0 IPS |
|
|
Style Transfer (SP)
|
89% |
9924
12.9 IPS |
|
|
Style Transfer (HP)
|
89% |
9914
12.9 IPS |
|
|
Style Transfer (Q)
|
98% |
19422
25.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1694
62.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1693
62.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4031
149.4 IPS |
|
|
Text Classification (SP)
|
100% |
681
908.7 IPS |
|
|
Text Classification (HP)
|
99% |
742
990.6 IPS |
|
|
Text Classification (Q)
|
88% |
1077
1.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
1589
27.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1532
26.4 IPS |
|
|
Machine Translation (Q)
|
50% |
756
26.8 IPS |
