Samsung Galaxy S24 Ultra
Geekbench AI Score
377
Single Precision Score
21572
Half Precision Score
49117
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 25 2024 07:01 PM |
| Views | 2 |
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 | 10.83 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
308
57.3 IPS |
|
|
Image Classification (HP)
|
100% |
18166
3.38 KIPS |
|
|
Image Classification (Q)
|
97% |
40511
7.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
379
6.14 IPS |
|
|
Image Segmentation (HP)
|
100% |
10750
174.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
30919
502.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
486
0.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
100148
116.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
397843
465.7 IPS |
|
|
Object Detection (SP)
|
100% |
204
16.2 IPS |
|
|
Object Detection (HP)
|
100% |
15122
1.20 KIPS |
|
|
Object Detection (Q)
|
86% |
19222
1.55 KIPS |
|
|
Face Detection (SP)
|
100% |
489
5.81 IPS |
|
|
Face Detection (HP)
|
100% |
31960
379.8 IPS |
|
|
Face Detection (Q)
|
97% |
107638
1.28 KIPS |
|
|
Depth Estimation (SP)
|
100% |
451
3.48 IPS |
|
|
Depth Estimation (HP)
|
99% |
60615
467.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
108106
1.01 KIPS |
|
|
Style Transfer (SP)
|
100% |
704
0.91 IPS |
|
|
Style Transfer (HP)
|
98% |
84939
109.5 IPS |
|
|
Style Transfer (Q)
|
98% |
420940
542.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
250
9.23 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44270
1.63 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
103917
3.85 KIPS |
|
|
Text Classification (SP)
|
100% |
289
385.1 IPS |
|
|
Text Classification (HP)
|
100% |
3056
4.08 KIPS |
|
|
Text Classification (Q)
|
93% |
6856
9.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
448
7.71 IPS |
|
|
Machine Translation (HP)
|
100% |
3316
57.1 IPS |
|
|
Machine Translation (Q)
|
55% |
2445
64.0 IPS |
