Samsung Galaxy S24 Ultra
Geekbench AI Score
2351
Single Precision Score
2371
Half Precision Score
3428
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 19 2024 10:48 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
1955
363.7 IPS |
|
|
Image Classification (HP)
|
100% |
2418
449.7 IPS |
|
|
Image Classification (Q)
|
100% |
2747
510.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2541
41.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2553
41.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4340
70.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4240
4.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
3767
4.40 IPS |
|
|
Pose Estimation (Q)
|
84% |
7939
9.42 IPS |
|
|
Object Detection (SP)
|
98% |
1701
135.4 IPS |
|
|
Object Detection (HP)
|
98% |
1680
133.7 IPS |
|
|
Object Detection (Q)
|
83% |
2081
168.1 IPS |
|
|
Face Detection (SP)
|
100% |
3276
38.9 IPS |
|
|
Face Detection (HP)
|
100% |
3314
39.4 IPS |
|
|
Face Detection (Q)
|
95% |
5123
61.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
3161
24.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3057
23.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
5286
48.4 IPS |
|
|
Style Transfer (SP)
|
89% |
8143
10.6 IPS |
|
|
Style Transfer (HP)
|
89% |
8159
10.6 IPS |
|
|
Style Transfer (Q)
|
98% |
15093
19.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1578
58.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1635
60.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3815
141.3 IPS |
|
|
Text Classification (SP)
|
100% |
705
941.4 IPS |
|
|
Text Classification (HP)
|
99% |
699
932.4 IPS |
|
|
Text Classification (Q)
|
88% |
1059
1.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
1541
26.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1523
26.2 IPS |
|
|
Machine Translation (Q)
|
50% |
689
24.5 IPS |
