Samsung Galaxy S24 Ultra
Geekbench AI Score
389
Single Precision Score
386
Half Precision Score
845
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 25 2024 06:55 PM |
| Views | 2 |
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% |
302
56.1 IPS |
|
|
Image Classification (HP)
|
100% |
297
55.2 IPS |
|
|
Image Classification (Q)
|
99% |
772
144.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
364
5.90 IPS |
|
|
Image Segmentation (HP)
|
100% |
367
5.95 IPS |
|
|
Image Segmentation (Q)
|
98% |
636
10.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
413
0.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
349
0.41 IPS |
|
|
Pose Estimation (Q)
|
98% |
1375
1.61 IPS |
|
|
Object Detection (SP)
|
100% |
198
15.7 IPS |
|
|
Object Detection (HP)
|
100% |
222
17.6 IPS |
|
|
Object Detection (Q)
|
87% |
613
49.1 IPS |
|
|
Face Detection (SP)
|
100% |
559
6.64 IPS |
|
|
Face Detection (HP)
|
100% |
579
6.88 IPS |
|
|
Face Detection (Q)
|
97% |
1272
15.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
494
3.81 IPS |
|
|
Depth Estimation (HP)
|
99% |
459
3.54 IPS |
|
|
Depth Estimation (Q)
|
64% |
1008
9.15 IPS |
|
|
Style Transfer (SP)
|
100% |
728
0.94 IPS |
|
|
Style Transfer (HP)
|
100% |
701
0.90 IPS |
|
|
Style Transfer (Q)
|
98% |
1732
2.23 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
247
9.12 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
260
9.59 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
887
32.9 IPS |
|
|
Text Classification (SP)
|
100% |
326
434.6 IPS |
|
|
Text Classification (HP)
|
100% |
327
435.9 IPS |
|
|
Text Classification (Q)
|
91% |
528
709.4 IPS |
|
|
Machine Translation (SP)
|
100% |
558
9.62 IPS |
|
|
Machine Translation (HP)
|
100% |
562
9.68 IPS |
|
|
Machine Translation (Q)
|
57% |
435
10.6 IPS |
