Samsung Galaxy S24 Ultra
Geekbench AI Score
400
Single Precision Score
401
Half Precision Score
885
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 18 2024 11:15 PM |
| Views | 1 |
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 | 10.81 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
238
44.3 IPS |
|
|
Image Classification (HP)
|
100% |
240
44.6 IPS |
|
|
Image Classification (Q)
|
99% |
599
111.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
303
4.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
305
4.95 IPS |
|
|
Image Segmentation (Q)
|
98% |
606
9.85 IPS |
|
|
Pose Estimation (SP)
|
100% |
430
0.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
431
0.50 IPS |
|
|
Pose Estimation (Q)
|
98% |
1625
1.90 IPS |
|
|
Object Detection (SP)
|
100% |
234
18.6 IPS |
|
|
Object Detection (HP)
|
100% |
236
18.7 IPS |
|
|
Object Detection (Q)
|
87% |
643
51.6 IPS |
|
|
Face Detection (SP)
|
100% |
600
7.13 IPS |
|
|
Face Detection (HP)
|
100% |
603
7.17 IPS |
|
|
Face Detection (Q)
|
97% |
1334
15.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
518
3.99 IPS |
|
|
Depth Estimation (HP)
|
99% |
520
4.01 IPS |
|
|
Depth Estimation (Q)
|
64% |
1200
10.9 IPS |
|
|
Style Transfer (SP)
|
100% |
847
1.09 IPS |
|
|
Style Transfer (HP)
|
100% |
847
1.09 IPS |
|
|
Style Transfer (Q)
|
98% |
2026
2.61 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
278
10.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
278
10.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
929
34.4 IPS |
|
|
Text Classification (SP)
|
100% |
349
466.4 IPS |
|
|
Text Classification (HP)
|
100% |
351
468.6 IPS |
|
|
Text Classification (Q)
|
91% |
561
753.5 IPS |
|
|
Machine Translation (SP)
|
100% |
568
9.79 IPS |
|
|
Machine Translation (HP)
|
100% |
570
9.83 IPS |
|
|
Machine Translation (Q)
|
57% |
463
11.3 IPS |
