Samsung Galaxy S24 Ultra
Geekbench AI Score
532
Single Precision Score
22735
Half Precision Score
51544
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 06 2025 01:49 AM |
| 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% |
331
61.5 IPS |
|
|
Image Classification (HP)
|
100% |
18467
3.43 KIPS |
|
|
Image Classification (Q)
|
97% |
41924
7.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
418
6.78 IPS |
|
|
Image Segmentation (HP)
|
100% |
11124
180.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
31582
513.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
572
0.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
100805
117.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
398873
466.9 IPS |
|
|
Object Detection (SP)
|
100% |
314
24.9 IPS |
|
|
Object Detection (HP)
|
100% |
16499
1.31 KIPS |
|
|
Object Detection (Q)
|
86% |
20572
1.65 KIPS |
|
|
Face Detection (SP)
|
100% |
785
9.33 IPS |
|
|
Face Detection (HP)
|
100% |
35691
424.1 IPS |
|
|
Face Detection (Q)
|
97% |
129185
1.54 KIPS |
|
|
Depth Estimation (SP)
|
100% |
689
5.31 IPS |
|
|
Depth Estimation (HP)
|
99% |
64687
498.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
118184
1.11 KIPS |
|
|
Style Transfer (SP)
|
100% |
1090
1.40 IPS |
|
|
Style Transfer (HP)
|
98% |
85576
110.3 IPS |
|
|
Style Transfer (Q)
|
98% |
422775
545.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
365
13.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46136
1.70 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
103340
3.83 KIPS |
|
|
Text Classification (SP)
|
100% |
457
610.0 IPS |
|
|
Text Classification (HP)
|
100% |
3115
4.16 KIPS |
|
|
Text Classification (Q)
|
93% |
6891
9.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
747
12.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3804
65.5 IPS |
|
|
Machine Translation (Q)
|
55% |
2651
69.5 IPS |
