Samsung Galaxy S24 Ultra
Geekbench AI Score
2987
Single Precision Score
3019
Half Precision Score
4760
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 05 2025 05:54 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-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 | 10.81 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2430
451.9 IPS |
|
|
Image Classification (HP)
|
100% |
2483
461.8 IPS |
|
|
Image Classification (Q)
|
100% |
2878
535.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2760
44.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2756
44.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4387
71.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4795
5.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
4589
5.35 IPS |
|
|
Pose Estimation (Q)
|
84% |
10633
12.6 IPS |
|
|
Object Detection (SP)
|
98% |
2100
167.1 IPS |
|
|
Object Detection (HP)
|
98% |
2334
185.7 IPS |
|
|
Object Detection (Q)
|
83% |
3672
296.6 IPS |
|
|
Face Detection (SP)
|
100% |
4227
50.2 IPS |
|
|
Face Detection (HP)
|
100% |
4360
51.8 IPS |
|
|
Face Detection (Q)
|
95% |
8012
95.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
4075
31.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4162
32.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
7827
71.7 IPS |
|
|
Style Transfer (SP)
|
89% |
11036
14.3 IPS |
|
|
Style Transfer (HP)
|
89% |
10743
13.9 IPS |
|
|
Style Transfer (Q)
|
98% |
21828
28.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2185
80.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2224
82.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5610
207.9 IPS |
|
|
Text Classification (SP)
|
100% |
1046
1.40 KIPS |
|
|
Text Classification (HP)
|
99% |
1087
1.45 KIPS |
|
|
Text Classification (Q)
|
88% |
1611
2.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
1927
33.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1825
31.4 IPS |
|
|
Machine Translation (Q)
|
50% |
980
34.8 IPS |
