Samsung Galaxy S24 Ultra
Geekbench AI Score
2368
Single Precision Score
2431
Half Precision Score
3623
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 24 2024 09:43 AM |
| Views | 2 |
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-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% |
1865
346.8 IPS |
|
|
Image Classification (HP)
|
100% |
2233
415.3 IPS |
|
|
Image Classification (Q)
|
100% |
3412
634.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2607
42.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2528
41.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
4118
67.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4154
4.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
3903
4.55 IPS |
|
|
Pose Estimation (Q)
|
84% |
8887
10.5 IPS |
|
|
Object Detection (SP)
|
98% |
1727
137.4 IPS |
|
|
Object Detection (HP)
|
98% |
1717
136.6 IPS |
|
|
Object Detection (Q)
|
83% |
2204
178.1 IPS |
|
|
Face Detection (SP)
|
100% |
3376
40.1 IPS |
|
|
Face Detection (HP)
|
100% |
3395
40.3 IPS |
|
|
Face Detection (Q)
|
95% |
5405
64.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
3616
27.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3477
26.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
5761
52.8 IPS |
|
|
Style Transfer (SP)
|
89% |
8373
10.9 IPS |
|
|
Style Transfer (HP)
|
89% |
8365
10.9 IPS |
|
|
Style Transfer (Q)
|
98% |
15525
20.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1693
62.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1715
63.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3959
146.7 IPS |
|
|
Text Classification (SP)
|
100% |
694
926.1 IPS |
|
|
Text Classification (HP)
|
99% |
740
987.4 IPS |
|
|
Text Classification (Q)
|
88% |
1034
1.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1328
22.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1522
26.2 IPS |
|
|
Machine Translation (Q)
|
50% |
717
25.5 IPS |
