Samsung Galaxy S24 Ultra
Geekbench AI Score
1137
Single Precision Score
1701
Half Precision Score
1545
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | 365azureguy |
| Upload Date | December 06 2024 05:51 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy S24 Ultra |
| Model ID | samsung SM-S928U |
| 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% |
890
165.6 IPS |
|
|
Image Classification (HP)
|
100% |
691
128.6 IPS |
|
|
Image Classification (Q)
|
96% |
562
105.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1085
17.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2006
32.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1176
19.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1124
1.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
2738
3.20 IPS |
|
|
Pose Estimation (Q)
|
96% |
2725
3.19 IPS |
|
|
Object Detection (SP)
|
100% |
677
53.7 IPS |
|
|
Object Detection (HP)
|
100% |
987
78.3 IPS |
|
|
Object Detection (Q)
|
87% |
728
58.5 IPS |
|
|
Face Detection (SP)
|
100% |
1835
21.8 IPS |
|
|
Face Detection (HP)
|
100% |
2376
28.2 IPS |
|
|
Face Detection (Q)
|
97% |
2339
27.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1896
14.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3959
30.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
3254
30.2 IPS |
|
|
Style Transfer (SP)
|
100% |
7384
9.49 IPS |
|
|
Style Transfer (HP)
|
100% |
11877
15.3 IPS |
|
|
Style Transfer (Q)
|
98% |
11747
15.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
547
20.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1384
51.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1384
51.3 IPS |
|
|
Text Classification (SP)
|
100% |
477
636.1 IPS |
|
|
Text Classification (HP)
|
100% |
479
640.0 IPS |
|
|
Text Classification (Q)
|
91% |
767
1.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
739
12.7 IPS |
|
|
Machine Translation (HP)
|
100% |
735
12.7 IPS |
|
|
Machine Translation (Q)
|
57% |
623
15.2 IPS |
