Samsung Galaxy S24 Ultra
Geekbench AI Score
423
Single Precision Score
22246
Half Precision Score
50676
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 10 2025 03:57 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-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% |
322
59.9 IPS |
|
|
Image Classification (HP)
|
100% |
18442
3.43 KIPS |
|
|
Image Classification (Q)
|
97% |
41830
7.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
404
6.54 IPS |
|
|
Image Segmentation (HP)
|
100% |
11087
179.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
31452
511.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
546
0.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
100591
117.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
398540
466.5 IPS |
|
|
Object Detection (SP)
|
100% |
252
20.0 IPS |
|
|
Object Detection (HP)
|
100% |
16245
1.29 KIPS |
|
|
Object Detection (Q)
|
86% |
20150
1.62 KIPS |
|
|
Face Detection (SP)
|
100% |
609
7.24 IPS |
|
|
Face Detection (HP)
|
100% |
34665
411.9 IPS |
|
|
Face Detection (Q)
|
97% |
119243
1.42 KIPS |
|
|
Depth Estimation (SP)
|
100% |
544
4.19 IPS |
|
|
Depth Estimation (HP)
|
99% |
64210
494.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
117777
1.10 KIPS |
|
|
Style Transfer (SP)
|
100% |
832
1.07 IPS |
|
|
Style Transfer (HP)
|
98% |
85151
109.8 IPS |
|
|
Style Transfer (Q)
|
98% |
422275
544.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
243
8.96 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44062
1.63 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
103042
3.82 KIPS |
|
|
Text Classification (SP)
|
100% |
301
401.9 IPS |
|
|
Text Classification (HP)
|
100% |
3059
4.08 KIPS |
|
|
Text Classification (Q)
|
93% |
6798
9.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
513
8.84 IPS |
|
|
Machine Translation (HP)
|
100% |
3479
59.9 IPS |
|
|
Machine Translation (Q)
|
55% |
2545
66.7 IPS |
