Samsung Galaxy S24 Ultra
Geekbench AI Score
1042
Single Precision Score
1557
Half Precision Score
1502
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 10 2024 10:50 PM |
| 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% |
602
111.9 IPS |
|
|
Image Classification (HP)
|
100% |
687
127.8 IPS |
|
|
Image Classification (Q)
|
96% |
649
121.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1133
18.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1901
30.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1470
23.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1096
1.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
2284
2.66 IPS |
|
|
Pose Estimation (Q)
|
96% |
2264
2.65 IPS |
|
|
Object Detection (SP)
|
100% |
651
51.7 IPS |
|
|
Object Detection (HP)
|
100% |
728
57.7 IPS |
|
|
Object Detection (Q)
|
87% |
721
57.9 IPS |
|
|
Face Detection (SP)
|
100% |
2269
27.0 IPS |
|
|
Face Detection (HP)
|
100% |
2603
30.9 IPS |
|
|
Face Detection (Q)
|
97% |
2262
27.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1758
13.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3638
28.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
2998
27.8 IPS |
|
|
Style Transfer (SP)
|
100% |
6107
7.85 IPS |
|
|
Style Transfer (HP)
|
100% |
9944
12.8 IPS |
|
|
Style Transfer (Q)
|
98% |
9922
12.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
420
15.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1361
50.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1320
48.9 IPS |
|
|
Text Classification (SP)
|
100% |
446
595.6 IPS |
|
|
Text Classification (HP)
|
100% |
447
596.8 IPS |
|
|
Text Classification (Q)
|
91% |
732
984.5 IPS |
|
|
Machine Translation (SP)
|
100% |
683
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
674
11.6 IPS |
|
|
Machine Translation (Q)
|
57% |
580
14.2 IPS |
