Samsung Galaxy S24 Ultra
Geekbench AI Score
2341
Single Precision Score
2404
Half Precision Score
3392
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 07 2024 06:40 PM |
| Views | 3 |
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-S928N |
| 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% |
2078
386.5 IPS |
|
|
Image Classification (HP)
|
100% |
2502
465.2 IPS |
|
|
Image Classification (Q)
|
100% |
2712
504.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2729
44.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2654
43.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
4224
68.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4230
4.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
4064
4.74 IPS |
|
|
Pose Estimation (Q)
|
84% |
7978
9.46 IPS |
|
|
Object Detection (SP)
|
98% |
1627
129.5 IPS |
|
|
Object Detection (HP)
|
98% |
1610
128.1 IPS |
|
|
Object Detection (Q)
|
83% |
2114
170.7 IPS |
|
|
Face Detection (SP)
|
100% |
3243
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
3258
38.7 IPS |
|
|
Face Detection (Q)
|
95% |
5094
60.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
3413
26.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3488
27.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
5248
48.1 IPS |
|
|
Style Transfer (SP)
|
89% |
8071
10.5 IPS |
|
|
Style Transfer (HP)
|
89% |
7996
10.4 IPS |
|
|
Style Transfer (Q)
|
98% |
14903
19.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1536
56.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1521
56.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3814
141.3 IPS |
|
|
Text Classification (SP)
|
100% |
692
923.5 IPS |
|
|
Text Classification (HP)
|
99% |
692
923.0 IPS |
|
|
Text Classification (Q)
|
88% |
956
1.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
1338
23.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1555
26.8 IPS |
|
|
Machine Translation (Q)
|
50% |
719
25.5 IPS |
