Samsung Galaxy S24 Ultra
Geekbench AI Score
2582
Single Precision Score
2593
Half Precision Score
4161
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 16 2025 04:38 PM |
| 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-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% |
2058
382.7 IPS |
|
|
Image Classification (HP)
|
100% |
2149
399.6 IPS |
|
|
Image Classification (Q)
|
100% |
2855
530.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2572
41.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2690
43.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4252
69.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4495
5.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
4396
5.13 IPS |
|
|
Pose Estimation (Q)
|
84% |
8921
10.6 IPS |
|
|
Object Detection (SP)
|
98% |
1636
130.2 IPS |
|
|
Object Detection (HP)
|
98% |
1805
143.7 IPS |
|
|
Object Detection (Q)
|
83% |
3042
245.7 IPS |
|
|
Face Detection (SP)
|
100% |
3379
40.1 IPS |
|
|
Face Detection (HP)
|
100% |
3263
38.8 IPS |
|
|
Face Detection (Q)
|
95% |
6836
81.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
3737
28.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3609
27.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
6577
60.2 IPS |
|
|
Style Transfer (SP)
|
89% |
9242
12.0 IPS |
|
|
Style Transfer (HP)
|
89% |
9354
12.1 IPS |
|
|
Style Transfer (Q)
|
98% |
18666
24.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1848
68.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1788
66.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4969
184.1 IPS |
|
|
Text Classification (SP)
|
100% |
946
1.26 KIPS |
|
|
Text Classification (HP)
|
99% |
891
1.19 KIPS |
|
|
Text Classification (Q)
|
88% |
1264
1.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
1659
28.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1708
29.4 IPS |
|
|
Machine Translation (Q)
|
50% |
897
31.8 IPS |
