Samsung Galaxy S24 Ultra
Geekbench AI Score
2642
Single Precision Score
2758
Half Precision Score
4232
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 21 2024 04:27 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-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% |
2078
386.4 IPS |
|
|
Image Classification (HP)
|
100% |
2453
456.2 IPS |
|
|
Image Classification (Q)
|
100% |
3521
654.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2787
45.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2742
44.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4251
69.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4402
5.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
4213
4.92 IPS |
|
|
Pose Estimation (Q)
|
84% |
9904
11.7 IPS |
|
|
Object Detection (SP)
|
98% |
1411
112.3 IPS |
|
|
Object Detection (HP)
|
98% |
2116
168.4 IPS |
|
|
Object Detection (Q)
|
83% |
3387
273.6 IPS |
|
|
Face Detection (SP)
|
100% |
4211
50.0 IPS |
|
|
Face Detection (HP)
|
100% |
4165
49.5 IPS |
|
|
Face Detection (Q)
|
95% |
7642
91.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
4154
32.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4132
31.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
6960
63.8 IPS |
|
|
Style Transfer (SP)
|
89% |
10004
13.0 IPS |
|
|
Style Transfer (HP)
|
89% |
10004
13.0 IPS |
|
|
Style Transfer (Q)
|
98% |
19675
25.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1969
72.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2032
75.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4544
168.4 IPS |
|
|
Text Classification (SP)
|
100% |
754
1.01 KIPS |
|
|
Text Classification (HP)
|
99% |
692
924.1 IPS |
|
|
Text Classification (Q)
|
88% |
1025
1.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
1774
30.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1758
30.3 IPS |
|
|
Machine Translation (Q)
|
50% |
754
26.8 IPS |
