Samsung Galaxy S24 Ultra
Geekbench AI Score
385
Single Precision Score
387
Half Precision Score
854
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | blackzenowl |
| Upload Date | December 10 2024 12:02 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
192
35.6 IPS |
|
|
Image Classification (HP)
|
100% |
192
35.8 IPS |
|
|
Image Classification (Q)
|
99% |
514
95.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
260
4.22 IPS |
|
|
Image Segmentation (HP)
|
100% |
282
4.57 IPS |
|
|
Image Segmentation (Q)
|
98% |
557
9.06 IPS |
|
|
Pose Estimation (SP)
|
100% |
406
0.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
403
0.47 IPS |
|
|
Pose Estimation (Q)
|
98% |
1608
1.88 IPS |
|
|
Object Detection (SP)
|
100% |
244
19.3 IPS |
|
|
Object Detection (HP)
|
100% |
249
19.7 IPS |
|
|
Object Detection (Q)
|
87% |
681
54.6 IPS |
|
|
Face Detection (SP)
|
100% |
615
7.31 IPS |
|
|
Face Detection (HP)
|
100% |
624
7.41 IPS |
|
|
Face Detection (Q)
|
97% |
1384
16.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
540
4.16 IPS |
|
|
Depth Estimation (HP)
|
99% |
499
3.84 IPS |
|
|
Depth Estimation (Q)
|
64% |
1052
9.54 IPS |
|
|
Style Transfer (SP)
|
100% |
807
1.04 IPS |
|
|
Style Transfer (HP)
|
100% |
783
1.01 IPS |
|
|
Style Transfer (Q)
|
98% |
1881
2.43 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
283
10.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
275
10.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
886
32.8 IPS |
|
|
Text Classification (SP)
|
100% |
327
435.9 IPS |
|
|
Text Classification (HP)
|
100% |
363
484.4 IPS |
|
|
Text Classification (Q)
|
91% |
588
790.8 IPS |
|
|
Machine Translation (SP)
|
100% |
584
10.1 IPS |
|
|
Machine Translation (HP)
|
100% |
577
9.94 IPS |
|
|
Machine Translation (Q)
|
57% |
463
11.3 IPS |
