Samsung Galaxy S24 Ultra
Geekbench AI Score
465
Single Precision Score
16131
Half Precision Score
39318
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | blackzenowl |
| Upload Date | September 23 2024 07:54 PM |
| Views | 8 |
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% |
299
55.6 IPS |
|
|
Image Classification (HP)
|
100% |
17657
3.28 KIPS |
|
|
Image Classification (Q)
|
97% |
41071
7.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
358
5.80 IPS |
|
|
Image Segmentation (HP)
|
100% |
10759
174.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
29207
474.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
478
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
97372
113.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
398385
466.3 IPS |
|
|
Object Detection (SP)
|
100% |
273
21.6 IPS |
|
|
Object Detection (HP)
|
100% |
16030
1.27 KIPS |
|
|
Object Detection (Q)
|
86% |
19269
1.55 KIPS |
|
|
Face Detection (SP)
|
100% |
679
8.07 IPS |
|
|
Face Detection (HP)
|
100% |
35432
421.0 IPS |
|
|
Face Detection (Q)
|
97% |
126314
1.51 KIPS |
|
|
Depth Estimation (SP)
|
100% |
586
4.52 IPS |
|
|
Depth Estimation (HP)
|
99% |
60760
468.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
114609
1.07 KIPS |
|
|
Style Transfer (SP)
|
100% |
971
1.25 IPS |
|
|
Style Transfer (HP)
|
24% |
3857
116.7 IPS |
|
|
Style Transfer (Q)
|
98% |
305887
394.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
322
11.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44283
1.64 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
114555
4.24 KIPS |
|
|
Text Classification (SP)
|
100% |
420
560.9 IPS |
|
|
Text Classification (HP)
|
100% |
3098
4.13 KIPS |
|
|
Text Classification (Q)
|
93% |
6775
9.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
659
11.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3532
60.8 IPS |
|
|
Machine Translation (Q)
|
30% |
279
56.1 IPS |
