Samsung Galaxy S24 Ultra
Geekbench AI Score
530
Single Precision Score
22737
Half Precision Score
51530
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 06 2025 02:00 AM |
| Views | 6 |
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% |
330
61.4 IPS |
|
|
Image Classification (HP)
|
100% |
18463
3.43 KIPS |
|
|
Image Classification (Q)
|
97% |
42001
7.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
418
6.77 IPS |
|
|
Image Segmentation (HP)
|
100% |
11073
179.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
31485
512.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
571
0.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
100783
117.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
398929
466.9 IPS |
|
|
Object Detection (SP)
|
100% |
311
24.7 IPS |
|
|
Object Detection (HP)
|
100% |
16523
1.31 KIPS |
|
|
Object Detection (Q)
|
86% |
20650
1.66 KIPS |
|
|
Face Detection (SP)
|
100% |
782
9.29 IPS |
|
|
Face Detection (HP)
|
100% |
35771
425.0 IPS |
|
|
Face Detection (Q)
|
97% |
128959
1.54 KIPS |
|
|
Depth Estimation (SP)
|
100% |
688
5.30 IPS |
|
|
Depth Estimation (HP)
|
99% |
64701
498.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
117954
1.10 KIPS |
|
|
Style Transfer (SP)
|
100% |
1088
1.40 IPS |
|
|
Style Transfer (HP)
|
98% |
85624
110.4 IPS |
|
|
Style Transfer (Q)
|
98% |
422956
545.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
364
13.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46046
1.70 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
103395
3.83 KIPS |
|
|
Text Classification (SP)
|
100% |
455
607.9 IPS |
|
|
Text Classification (HP)
|
100% |
3111
4.15 KIPS |
|
|
Text Classification (Q)
|
93% |
6898
9.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
743
12.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3821
65.8 IPS |
|
|
Machine Translation (Q)
|
55% |
2641
69.2 IPS |
