Samsung Galaxy S24 Ultra
Geekbench AI Score
418
Single Precision Score
406
Half Precision Score
905
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | leleletus |
| Upload Date | August 17 2024 03:39 PM |
| Views | 13 |
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-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 | 10.81 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
291
54.1 IPS |
|
|
Image Classification (HP)
|
100% |
287
53.4 IPS |
|
|
Image Classification (Q)
|
97% |
778
145.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
374
6.06 IPS |
|
|
Image Segmentation (HP)
|
100% |
369
5.99 IPS |
|
|
Image Segmentation (Q)
|
98% |
772
12.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
499
0.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
426
0.50 IPS |
|
|
Pose Estimation (Q)
|
98% |
1496
1.75 IPS |
|
|
Object Detection (SP)
|
100% |
231
18.3 IPS |
|
|
Object Detection (HP)
|
100% |
225
17.9 IPS |
|
|
Object Detection (Q)
|
89% |
630
50.4 IPS |
|
|
Face Detection (SP)
|
100% |
585
6.95 IPS |
|
|
Face Detection (HP)
|
100% |
575
6.83 IPS |
|
|
Face Detection (Q)
|
97% |
1293
15.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
511
3.94 IPS |
|
|
Depth Estimation (HP)
|
100% |
489
3.76 IPS |
|
|
Depth Estimation (Q)
|
73% |
1168
9.55 IPS |
|
|
Style Transfer (SP)
|
100% |
791
1.02 IPS |
|
|
Style Transfer (HP)
|
100% |
756
0.97 IPS |
|
|
Style Transfer (Q)
|
98% |
1874
2.42 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
277
10.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
274
10.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
907
33.6 IPS |
|
|
Text Classification (SP)
|
100% |
341
454.9 IPS |
|
|
Text Classification (HP)
|
100% |
362
482.8 IPS |
|
|
Text Classification (Q)
|
91% |
575
773.2 IPS |
|
|
Machine Translation (SP)
|
100% |
591
10.2 IPS |
|
|
Machine Translation (HP)
|
100% |
579
9.97 IPS |
|
|
Machine Translation (Q)
|
57% |
442
10.8 IPS |
