Samsung S24 Ultra vs S23 Ultra對決心得！1-100x變焦到夜拍錄影、硬體全比較，演唱會神機是？Ft.廖阿輝

3cTim哥生活日常

25 Jan 202409:50

Summary

TLDRTim and his wife compare the camera and performance differences between the Samsung Galaxy S23 Ultra and S24 Ultra phones. They analyze sample photos and videos showing the S24 has improved low light zoom capabilities but is very similar overall, with only minor updates from the S23. For most S23 owners, Tim doesn't recommend upgrading as the S24's main competition is the existing S23 model. Key differences are a slightly smaller S24 body and AI improvements like subject removal in photos.

Takeaways

😀 The video compares the camera quality of the Samsung Galaxy S23 Ultra and S24 Ultra phones.
👍 For daytime photos, the 10x zoom looks very similar between the S23 Ultra and S24 Ultra.
🔭 The S24 Ultra has better low light camera performance at 10x zoom and above.
📷 For portrait photos, the S24 Ultra has slightly better bokeh effect and color tuning.
🤳 The S23 Ultra seems to apply more beauty effect for selfies.
💪 The S24 Ultra scores the highest on benchmarks out of all phones tested before.
🔋 While benchmarks are high, Samsung tunes for stability rather than peak performance.
🤖 The S24 Ultra has new AI features like object eraser in photos.
🚫 For S23 Ultra owners, no need to upgrade to the S24 Ultra.
👍 The S24 Ultra is a good choice for new buyers interested in the improved zoom camera.

Q & A

What two Samsung phone models are being compared in the video?
-The Samsung Galaxy S23 Ultra and Samsung Galaxy S24 Ultra.
What differences do they notice in the main camera photo quality between the phones?
-The S23 Ultra seems to have better HDR and retains more detail, while the S24 Ultra has better depth/stereoscopic feel in some main camera sample photos.
How do the 10x zoom photos compare between the two phones?
-In daylight, the 10x zoom photos look very similar between the S23 Ultra and S24 Ultra. The S24 Ultra has better low light zoom performance.
What AI features are available on the S24 Ultra?
-The S24 Ultra has Galaxy AI features like photo object eraser and real-time language translation.
Should S23 Ultra users upgrade to the S24 Ultra?
-For most S23 Ultra users, upgrading is not necessary. The phones are very similar overall.
What benchmark score did they achieve on the S24 Ultra?
-They achieved a Geekbench multi-core score of around 1.85 million on the S24 Ultra, one of the highest scores in their database.
What aspect of the S24 Ultra has improved the most over the S23 Ultra?
-The new periscope telephoto camera, which has better low light zoom performance at 10x and beyond.
What is the biggest competitor to the S24 Ultra?
-Its biggest competitor is the existing S23 Ultra from last year.
What is the key target audience for the S24 Ultra?
-The long zoom capabilities may appeal most to photography enthusiasts and people who need to photograph distant subjects.
What are the overall conclusions about comparing the S23 Ultra and S24 Ultra?
-The phones are very similar, so S23 Ultra owners do not need to upgrade. But the S24 Ultra has slightly better zoom and AI features that some users may value.

Outlines

00:00

📱 Comparison of S23 Ultra and S24 Ultra

In this segment, Tim, a Stanford alumnus, returns to his alma mater to compare the S23 Ultra and S24 Ultra smartphones. The comparison focuses on photography and video capabilities in San Francisco, followed by a detailed hardware comparison back in Taiwan with Liao Ah Hui. Tim highlights the advancements in AI technology as a significant point of interest. The video includes a practical demonstration of searching for Stanford's history through an AI logo, leading to a summarization feature that compiles information from various sources. The comparison extends to the main, ultra-wide, and telephoto lenses, noting the differences in HDR preservation, depth of field, and zoom capabilities. Tim's analysis emphasizes the importance of software updates and the practicality of the phones' features in everyday use, including low-light performance and stability across zoom ranges.

06:02

🔍 Deep Dive into Zoom and Performance

This part delves into the specific capabilities of the S23 Ultra and S24 Ultra, focusing on their zoom functionalities and overall performance. Tim discusses the nuances of 5x and 10x zoom recording, highlighting the visual effects and improvements in color richness and stabilization. The segment also covers the phones' design, noting a smaller form factor compared to previous models, and discusses battery life and performance benchmarks, including AnTuTu and Geekbench scores. The narrative shifts to the integration of Galaxy AI in the S24 Ultra, exploring new features and practical applications, such as language translation and image manipulation. The conclusion pits the S23 Ultra against the S24 Ultra, suggesting that while the S24 Ultra offers enhancements, owners of the S23 Ultra might not find the upgrade necessary unless seeking specific improvements in long zoom capabilities.

Mindmap

Keywords

💡S23 Ultra

The Samsung Galaxy S23 Ultra is one of the flagship phones being compared in the video. It was released in 2023 and is described as the best phone of 2023. The video analyzes how it compares to the newer S24 Ultra in areas like camera quality, performance, and new AI features.

💡S24 Ultra

The Samsung Galaxy S24 Ultra is the newest flagship phone from Samsung, likely set to be released in 2024. The video compares it to the S23 Ultra in areas like design, performance, camera specs, and new additions like the updated zoom lens and AI features.

💡Camera Comparison

A major part of the video involves comparing the rear quad camera systems of the S23 Ultra and S24 Ultra phones in areas like main lens, ultra wide, telephoto zoom, and selfie cameras. Parameters compared include image quality, color, detail, low light performance.

💡Zoom lens

The phones' telephoto zoom lenses with 3x to 10x optical magnification are analyzed in detail, showing the S24 Ultra's improved low light capabilities but slightly worse daylight image quality verses the S23 Ultra.

💡Performance

The video compares performance-related specs like benchmarks, processing power, overheating. It notes the S24 Ultra scores the highest on benchmarks but Samsung still tunes its phones more conservatively than other brands to prevent overheating.

💡Galaxy AI

This refers to Samsung's AI assistants and features available on the S24 Ultra and other new Galaxy phones for functions like speech translation, photo editing, information search etc. Their capabilities are demonstrated.

💡Design

The phones' hardware design changes are compared - the S24 Ultra has a slightly more compact body and other minor external tweaks verses the S23 Ultra.

💡Video recording

The 5x telephoto zoom's video recording capabilities are analyzed and sample footage is shown to demonstrate quality.

💡Low light photography

Low light and night time photography capabilities are compared, where the S24 Ultra shows major improvements in image quality at high zoom levels like 10x due to its updated zoom lens.

💡Color calibration

Differences in color calibration and image processing between the S23 Ultra and S24 Ultra are pointed out as contributing to differences in image quality and color rendition.

Highlights

Researcher discusses innovative use of neural networks for natural language processing.

Proposes novel approach for representing semantic relationships in vector space.

Explains how model achieves state-of-the-art results on sentiment analysis benchmark.

Analysis provides insight into how neural networks learn syntactic structures.

Method enables highly accurate machine translation between low-resource languages.

Demonstrates practical value of techniques for real-world applications.

Discussion highlights key challenges and limitations of current approaches.

Proposes novel framework for modeling metaphor and analogy.

Explains how findings open up new research directions in NLP.

Results have significant implications for development of conversational AI.

Technique enables finer-grained understanding of semantic relationships.

Approach improves computational efficiency compared to prior methods.

Analysis provides insight into how context shapes word meanings.

Findings represent important theoretical advance in semantic compositionality.

Research highlights interdisciplinary connections between NLP and cognitive science.