Samsung Galaxy S24 Ultra
Geekbench AI Score
1095
Single Precision Score
1638
Half Precision Score
1578
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 21 2024 04:31 AM |
| Views | 1 |
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-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% |
701
130.4 IPS |
|
|
Image Classification (HP)
|
100% |
768
142.9 IPS |
|
|
Image Classification (Q)
|
96% |
863
161.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1354
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1554
25.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1056
17.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1088
1.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
2271
2.65 IPS |
|
|
Pose Estimation (Q)
|
96% |
2271
2.66 IPS |
|
|
Object Detection (SP)
|
100% |
637
50.5 IPS |
|
|
Object Detection (HP)
|
100% |
992
78.7 IPS |
|
|
Object Detection (Q)
|
87% |
957
76.8 IPS |
|
|
Face Detection (SP)
|
100% |
2349
27.9 IPS |
|
|
Face Detection (HP)
|
100% |
3182
37.8 IPS |
|
|
Face Detection (Q)
|
97% |
2697
32.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1759
13.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3682
28.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
3044
28.2 IPS |
|
|
Style Transfer (SP)
|
100% |
6124
7.87 IPS |
|
|
Style Transfer (HP)
|
100% |
10022
12.9 IPS |
|
|
Style Transfer (Q)
|
98% |
9923
12.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
462
17.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1368
50.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1358
50.3 IPS |
|
|
Text Classification (SP)
|
100% |
457
610.4 IPS |
|
|
Text Classification (HP)
|
100% |
460
613.7 IPS |
|
|
Text Classification (Q)
|
91% |
736
989.2 IPS |
|
|
Machine Translation (SP)
|
100% |
711
12.2 IPS |
|
|
Machine Translation (HP)
|
100% |
701
12.1 IPS |
|
|
Machine Translation (Q)
|
57% |
596
14.6 IPS |
