Samsung Galaxy S24 Ultra
Geekbench AI Score
2632
Single Precision Score
2608
Half Precision Score
4168
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 22 2024 12:16 AM |
| Views | 4 |
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% |
2015
374.7 IPS |
|
|
Image Classification (HP)
|
100% |
2027
376.9 IPS |
|
|
Image Classification (Q)
|
100% |
3863
718.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2719
44.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2738
44.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4082
66.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4434
5.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
4250
4.96 IPS |
|
|
Pose Estimation (Q)
|
84% |
9844
11.7 IPS |
|
|
Object Detection (SP)
|
98% |
1793
142.7 IPS |
|
|
Object Detection (HP)
|
98% |
1787
142.2 IPS |
|
|
Object Detection (Q)
|
83% |
2313
186.8 IPS |
|
|
Face Detection (SP)
|
100% |
3409
40.5 IPS |
|
|
Face Detection (HP)
|
100% |
3452
41.0 IPS |
|
|
Face Detection (Q)
|
95% |
5668
67.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
3813
29.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3834
29.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
7158
65.6 IPS |
|
|
Style Transfer (SP)
|
89% |
10296
13.4 IPS |
|
|
Style Transfer (HP)
|
89% |
10343
13.4 IPS |
|
|
Style Transfer (Q)
|
98% |
21099
27.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2155
79.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2150
79.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4638
171.9 IPS |
|
|
Text Classification (SP)
|
100% |
870
1.16 KIPS |
|
|
Text Classification (HP)
|
99% |
808
1.08 KIPS |
|
|
Text Classification (Q)
|
88% |
1346
1.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
1465
25.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1455
25.1 IPS |
|
|
Machine Translation (Q)
|
50% |
825
29.3 IPS |
