Samsung Galaxy S24 Ultra
Geekbench AI Score
482
Single Precision Score
22508
Half Precision Score
51498
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 10 2025 07:54 PM |
| Views | 3 |
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-S928U1 |
| 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% |
324
60.2 IPS |
|
|
Image Classification (HP)
|
100% |
18189
3.38 KIPS |
|
|
Image Classification (Q)
|
97% |
42017
7.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
405
6.56 IPS |
|
|
Image Segmentation (HP)
|
100% |
11073
179.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
31489
512.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
547
0.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
100659
117.5 IPS |
|
|
Pose Estimation (Q)
|
98% |
399043
467.1 IPS |
|
|
Object Detection (SP)
|
100% |
298
23.7 IPS |
|
|
Object Detection (HP)
|
100% |
16577
1.31 KIPS |
|
|
Object Detection (Q)
|
86% |
20656
1.66 KIPS |
|
|
Face Detection (SP)
|
100% |
762
9.05 IPS |
|
|
Face Detection (HP)
|
100% |
35666
423.8 IPS |
|
|
Face Detection (Q)
|
97% |
128531
1.53 KIPS |
|
|
Depth Estimation (SP)
|
100% |
660
5.09 IPS |
|
|
Depth Estimation (HP)
|
99% |
64204
494.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
118292
1.11 KIPS |
|
|
Style Transfer (SP)
|
100% |
948
1.22 IPS |
|
|
Style Transfer (HP)
|
98% |
85413
110.1 IPS |
|
|
Style Transfer (Q)
|
98% |
422877
545.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
300
11.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44216
1.63 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
103588
3.84 KIPS |
|
|
Text Classification (SP)
|
100% |
370
493.7 IPS |
|
|
Text Classification (HP)
|
100% |
3102
4.14 KIPS |
|
|
Text Classification (Q)
|
93% |
6837
9.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
609
10.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3702
63.8 IPS |
|
|
Machine Translation (Q)
|
55% |
2642
69.2 IPS |
