Samsung Galaxy S24 Ultra
Geekbench AI Score
470
Single Precision Score
22385
Half Precision Score
51333
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Spiike |
| Upload Date | April 13 2025 09:32 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Samsung Galaxy S24 Ultra |
| Model ID | samsung SM-S928W |
| 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
57.4 IPS |
|
|
Image Classification (HP)
|
100% |
18345
3.41 KIPS |
|
|
Image Classification (Q)
|
97% |
41968
7.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
392
6.35 IPS |
|
|
Image Segmentation (HP)
|
100% |
10917
177.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
31461
511.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
526
0.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
100456
117.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
398278
466.2 IPS |
|
|
Object Detection (SP)
|
100% |
296
23.5 IPS |
|
|
Object Detection (HP)
|
100% |
16465
1.31 KIPS |
|
|
Object Detection (Q)
|
86% |
20449
1.64 KIPS |
|
|
Face Detection (SP)
|
100% |
723
8.59 IPS |
|
|
Face Detection (HP)
|
100% |
35366
420.2 IPS |
|
|
Face Detection (Q)
|
97% |
128479
1.53 KIPS |
|
|
Depth Estimation (SP)
|
100% |
637
4.90 IPS |
|
|
Depth Estimation (HP)
|
99% |
63434
488.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
117333
1.10 KIPS |
|
|
Style Transfer (SP)
|
100% |
972
1.25 IPS |
|
|
Style Transfer (HP)
|
98% |
85379
110.1 IPS |
|
|
Style Transfer (Q)
|
98% |
422097
544.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
300
11.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44245
1.63 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
103555
3.84 KIPS |
|
|
Text Classification (SP)
|
100% |
362
483.5 IPS |
|
|
Text Classification (HP)
|
100% |
3094
4.13 KIPS |
|
|
Text Classification (Q)
|
93% |
6828
9.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
586
10.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3638
62.7 IPS |
|
|
Machine Translation (Q)
|
55% |
2626
68.8 IPS |
