Samsung Galaxy S24 Ultra
Geekbench AI Score
2409
Single Precision Score
2416
Half Precision Score
3724
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 31 2024 12:11 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% |
1738
323.2 IPS |
|
|
Image Classification (HP)
|
100% |
1824
339.2 IPS |
|
|
Image Classification (Q)
|
100% |
2841
528.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2323
37.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2325
37.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3529
57.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4140
4.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
4177
4.87 IPS |
|
|
Pose Estimation (Q)
|
84% |
9656
11.5 IPS |
|
|
Object Detection (SP)
|
98% |
2000
159.1 IPS |
|
|
Object Detection (HP)
|
98% |
1728
137.5 IPS |
|
|
Object Detection (Q)
|
83% |
2810
227.0 IPS |
|
|
Face Detection (SP)
|
100% |
3485
41.4 IPS |
|
|
Face Detection (HP)
|
100% |
3485
41.4 IPS |
|
|
Face Detection (Q)
|
95% |
5728
68.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
3362
26.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3336
25.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
5819
53.3 IPS |
|
|
Style Transfer (SP)
|
89% |
8786
11.4 IPS |
|
|
Style Transfer (HP)
|
89% |
8785
11.4 IPS |
|
|
Style Transfer (Q)
|
98% |
16569
21.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1743
64.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1784
65.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4184
155.0 IPS |
|
|
Text Classification (SP)
|
100% |
727
971.0 IPS |
|
|
Text Classification (HP)
|
99% |
774
1.03 KIPS |
|
|
Text Classification (Q)
|
88% |
1085
1.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1515
26.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1572
27.1 IPS |
|
|
Machine Translation (Q)
|
50% |
753
26.7 IPS |
