Samsung Galaxy S24 Ultra
Geekbench AI Score
366
Single Precision Score
347
Half Precision Score
779
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | tobbyng |
| Upload Date | September 04 2024 01:49 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy S24 Ultra |
| Model ID | samsung SM-S9280 |
| 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% |
301
55.9 IPS |
|
|
Image Classification (HP)
|
100% |
291
54.2 IPS |
|
|
Image Classification (Q)
|
97% |
773
144.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
375
6.08 IPS |
|
|
Image Segmentation (HP)
|
100% |
372
6.03 IPS |
|
|
Image Segmentation (Q)
|
98% |
770
12.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
479
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
331
0.39 IPS |
|
|
Pose Estimation (Q)
|
98% |
1306
1.53 IPS |
|
|
Object Detection (SP)
|
100% |
194
15.4 IPS |
|
|
Object Detection (HP)
|
100% |
191
15.1 IPS |
|
|
Object Detection (Q)
|
89% |
498
39.8 IPS |
|
|
Face Detection (SP)
|
100% |
481
5.72 IPS |
|
|
Face Detection (HP)
|
100% |
488
5.79 IPS |
|
|
Face Detection (Q)
|
97% |
1093
13.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
429
3.31 IPS |
|
|
Depth Estimation (HP)
|
100% |
403
3.11 IPS |
|
|
Depth Estimation (Q)
|
73% |
1028
8.41 IPS |
|
|
Style Transfer (SP)
|
100% |
668
0.86 IPS |
|
|
Style Transfer (HP)
|
100% |
665
0.85 IPS |
|
|
Style Transfer (Q)
|
98% |
1592
2.05 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
220
8.14 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
221
8.15 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
753
27.9 IPS |
|
|
Text Classification (SP)
|
100% |
289
385.1 IPS |
|
|
Text Classification (HP)
|
100% |
279
372.4 IPS |
|
|
Text Classification (Q)
|
91% |
455
612.2 IPS |
|
|
Machine Translation (SP)
|
100% |
475
8.18 IPS |
|
|
Machine Translation (HP)
|
100% |
467
8.05 IPS |
|
|
Machine Translation (Q)
|
57% |
348
8.50 IPS |
