Samsung Galaxy S24 Ultra
Geekbench AI Score
467
Single Precision Score
22525
Half Precision Score
51178
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 10 2025 05:30 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% |
320
59.5 IPS |
|
|
Image Classification (HP)
|
100% |
18490
3.44 KIPS |
|
|
Image Classification (Q)
|
97% |
41828
7.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
404
6.54 IPS |
|
|
Image Segmentation (HP)
|
100% |
11159
180.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
31479
511.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
546
0.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
100144
116.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
398985
467.0 IPS |
|
|
Object Detection (SP)
|
100% |
299
23.7 IPS |
|
|
Object Detection (HP)
|
100% |
16437
1.30 KIPS |
|
|
Object Detection (Q)
|
86% |
20294
1.63 KIPS |
|
|
Face Detection (SP)
|
100% |
684
8.12 IPS |
|
|
Face Detection (HP)
|
100% |
35028
416.2 IPS |
|
|
Face Detection (Q)
|
97% |
122947
1.47 KIPS |
|
|
Depth Estimation (SP)
|
100% |
597
4.60 IPS |
|
|
Depth Estimation (HP)
|
99% |
64252
495.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
118215
1.11 KIPS |
|
|
Style Transfer (SP)
|
100% |
901
1.16 IPS |
|
|
Style Transfer (HP)
|
98% |
85432
110.2 IPS |
|
|
Style Transfer (Q)
|
98% |
423034
545.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
298
11.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44145
1.63 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
103552
3.84 KIPS |
|
|
Text Classification (SP)
|
100% |
362
483.6 IPS |
|
|
Text Classification (HP)
|
100% |
3098
4.14 KIPS |
|
|
Text Classification (Q)
|
93% |
6858
9.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
593
10.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3765
64.8 IPS |
|
|
Machine Translation (Q)
|
55% |
2648
69.4 IPS |
