Samsung Galaxy S24 Ultra
Geekbench AI Score
2145
Single Precision Score
2122
Half Precision Score
3145
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 22 2025 08:58 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% |
1917
356.4 IPS |
|
|
Image Classification (HP)
|
100% |
1915
356.1 IPS |
|
|
Image Classification (Q)
|
100% |
2497
464.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2045
33.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1971
32.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3098
50.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3730
4.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
3113
3.63 IPS |
|
|
Pose Estimation (Q)
|
84% |
7027
8.33 IPS |
|
|
Object Detection (SP)
|
98% |
1533
122.0 IPS |
|
|
Object Detection (HP)
|
98% |
1538
122.4 IPS |
|
|
Object Detection (Q)
|
83% |
2193
177.1 IPS |
|
|
Face Detection (SP)
|
100% |
3029
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
3108
36.9 IPS |
|
|
Face Detection (Q)
|
95% |
4889
58.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
3079
23.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3103
24.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
5014
45.9 IPS |
|
|
Style Transfer (SP)
|
89% |
7637
9.91 IPS |
|
|
Style Transfer (HP)
|
89% |
7589
9.85 IPS |
|
|
Style Transfer (Q)
|
98% |
14350
18.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1451
53.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1484
54.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3541
131.2 IPS |
|
|
Text Classification (SP)
|
100% |
629
840.1 IPS |
|
|
Text Classification (HP)
|
99% |
662
884.3 IPS |
|
|
Text Classification (Q)
|
88% |
966
1.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
1421
24.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1426
24.6 IPS |
|
|
Machine Translation (Q)
|
50% |
662
23.5 IPS |
