9to5Mac58%

Geekbench 7 is out with overhauled performance tests for CPU and GPU workloads 12%

By Marcus Mendes29%

7/23/2026, 10:05:31 PM

BS Summary: This article contains 15 faulty reasoning types, including Appeal to Authority, Confirmation Bias, and Availability Heuristic, with Optimism Bias as the most egregious example at 14.2% saturation with 76 hits. Analysis detected 563 faulty-reasoning hits from 536 analyzed words, generating a BS Score of 28.8% and a BS Rank of 12% (19,322 of 21,887 articles). This article is better (less manipulative) than 88.30% of the article peer group.

Primate Labs released Geekbench 7 today, promising benchmarks that more closely reflect how people use their devices across everyday tasks, gaming, and AI workloads. 
Here’s what’s new. 
Geekbench 7 now available 
When Primate Labs released Geekbench 6 in early 2023, the company said that “a lot [had] changed in the tech world in the past three years,” with AI and ML becoming “ubiquitous in general and mobile applications.” 
Three years later, that is even more true. 
From on-device AI inference and image processing to video editing and increasingly demanding games, CPU and GPU performance now matter across a wider range of everyday tasks. 
Today, Primate Labs released Geekbench 7, featuring “both new and improved workloads to measure the performance of your CPUs and GPUs.” 
Geekbench 7 also revamps the app’s GPU Benchmark, placing greater emphasis on machine learning and content creation workloads. 
Here’s Primate Labs: 
For machine learning, the GPU benchmark includes workloads that: 
Track faces and apply real-time filter effects to video, modeling the face filters in social media apps. 
Upscale images with machine learning, modeling super resolution features in content creation apps. 
Blur backgrounds in video conferencing streams, modeling virtual background features in video conferencing apps. 
Geekbench 7 also introduces new GPU image editing and synthesis workloads, including RAW image processing, LUT-based video color grading, path tracing, and fluid simulation. 
Additionally, Geekbench 7 adds Nvidia’s CUDA to its list of supported GPU APIs, alongside OpenCL, Vulkan, and Metal. 
Another improvement over Geekbench 6 is how the updated benchmark handles multi-core performance. 
Primate Labs explains that Geekbench 7 now runs workloads across multiple threads only when the real-world task being tested typically does the same. 
For example, the HTML5 Browser test is no longer included in the multi-core suite because web browsers are typically single-threaded or only lightly threaded. 
When it comes to media performance, Geekbench 7 adds new workloads for measuring how CPUs handle audio and video encoding, decoding, and processing: 
Encode screen-sharing video with the AV1 codec, modeling the screen-sharing features in video conferencing apps. 
Compress music and spoken-word audio with the Opus codec, modeling voice memo and podcast apps. 
Decode video and audio while generating live captions with the Whisper speech recognition model, modeling video playback with automatic subtitles enabled. 
Finally, Geekbench 7 also increases the size and variety of the data sets used throughout its tests. 
The File Compression workload, for instance, now includes more archives spanning source code, object code, and text documents. 
The PDF Viewer test, in turn, covers a broader range of files, including park maps, technical documents, and academic papers. 
Likewise, developer and image-processing workloads have also been updated with more assets and additional image formats. 
To celebrate the launch of Geekbench 7, Primate Labs is offering 20% off Geekbench 7 Pro through August 6. 
The standard version remains free for personal use. 
To learn more about Geekbench 7, follow this link. 
Worth checking out on Amazon 
Geoffrey Cain  ‘Steve Jobs in Exile’ 
David Pogue  ’Apple: The First 50 Years’ 
MacBook Neo 
Logitech MX Master 4 
AirPods Pro 3 
AirTag (2nd Generation)  4 Pack 
Apple Watch Series 11 
Wireless CarPlay adapter 
Article reasoning-pattern comparisonThis article: 9.9%Marcus Mendes: 2.3%9to5Mac: 2.7%Confirmation Bias9.9%This article: 0.0%Marcus Mendes: 1.2%9to5Mac: 2.2%Anchoring Bias0.0%This article: 9.5%Marcus Mendes: 2.6%9to5Mac: 2.8%Availability Heuristic9.5%This article: 4.5%Marcus Mendes: 0.3%9to5Mac: 1.0%Representativeness Heuristic4.5%This article: 1.5%Marcus Mendes: 0.1%9to5Mac: 0.3%Hindsight Bias1.5%This article: 0.0%Marcus Mendes: 0.8%9to5Mac: 2.9%Overconfidence Bias0.0%This article: 7.6%Marcus Mendes: 5.2%9to5Mac: 5.3%Framing Effect7.6%This article: 3.5%Marcus Mendes: 0.4%9to5Mac: 1.3%Loss Aversion3.5%This article: 2.4%Marcus Mendes: 0.4%9to5Mac: 0.7%Status Quo Bias2.4%This article: 0.0%Marcus Mendes: 0.0%9to5Mac: 0.0%Sunk Cost Effect0.0%This article: 14.2%Marcus Mendes: 1.7%9to5Mac: 3.4%Optimism Bias14.2%This article: 0.0%Marcus Mendes: 1.1%9to5Mac: 1.9%Pessimism Bias0.0%This article: 0.0%Marcus Mendes: 3.3%9to5Mac: 4.6%Negativity Bias0.0%This article: 0.0%Marcus Mendes: 0.5%9to5Mac: 0.7%Self-Serving Bias0.0%This article: 0.0%Marcus Mendes: 0.2%9to5Mac: 0.4%Fundamental Attribution Error0.0%This article: 0.0%Marcus Mendes: 0.1%9to5Mac: 0.0%Actor-Observer Bias0.0%This article: 0.0%Marcus Mendes: 0.1%9to5Mac: 0.3%In-Group Bias0.0%This article: 0.0%Marcus Mendes: 0.1%9to5Mac: 0.1%Out-Group Homogeneity Bias0.0%This article: 8.4%Marcus Mendes: 3.7%9to5Mac: 3.5%Halo Effect8.4%This article: 0.0%Marcus Mendes: 0.0%9to5Mac: 0.0%Horn Effect0.0%This article: 0.0%Marcus Mendes: 0.1%9to5Mac: 0.0%Dunning-Kruger Effect0.0%This article: 6.7%Marcus Mendes: 1.8%9to5Mac: 1.8%Recency Bias6.7%This article: 0.0%Marcus Mendes: 0.2%9to5Mac: 0.4%Primacy Effect0.0%This article: 0.0%Marcus Mendes: 0.0%9to5Mac: 0.0%Blind-Spot Bias0.0%This article: 0.0%Marcus Mendes: 0.3%9to5Mac: 0.1%Ad Hominem0.0%This article: 0.0%Marcus Mendes: 0.1%9to5Mac: 0.1%Straw Man0.0%This article: 11.2%Marcus Mendes: 3.0%9to5Mac: 3.6%Appeal to Authority11.2%This article: 0.0%Marcus Mendes: 1.0%9to5Mac: 1.4%False Dilemma0.0%This article: 0.0%Marcus Mendes: 0.7%9to5Mac: 0.6%Slippery Slope0.0%This article: 0.0%Marcus Mendes: 0.2%9to5Mac: 0.2%Circular Reasoning0.0%This article: 9.5%Marcus Mendes: 2.2%9to5Mac: 4.8%Hasty Generalization9.5%This article: 0.0%Marcus Mendes: 0.1%9to5Mac: 0.1%Red Herring0.0%This article: 0.0%Marcus Mendes: 0.3%9to5Mac: 0.8%Bandwagon0.0%This article: 0.0%Marcus Mendes: 1.6%9to5Mac: 2.2%Appeal to Emotion0.0%This article: 0.0%Marcus Mendes: 0.2%9to5Mac: 0.6%Begging the Question0.0%This article: 0.0%Marcus Mendes: 1.8%9to5Mac: 1.9%Post Hoc (False Cause)0.0%This article: 0.0%Marcus Mendes: 0.0%9to5Mac: 0.0%Tu Quoque0.0%This article: 0.0%Marcus Mendes: 0.4%9to5Mac: 0.4%Burden of Proof0.0%This article: 0.0%Marcus Mendes: 0.0%9to5Mac: 0.0%Appeal to Nature0.0%This article: 0.0%Marcus Mendes: 0.0%9to5Mac: 0.1%Composition/Division0.0%This article: 0.0%Marcus Mendes: 2.2%9to5Mac: 2.4%Anecdotal0.0%This article: 0.0%Marcus Mendes: 0.0%9to5Mac: 0.0%No True Scotsman0.0%This article: 0.0%Marcus Mendes: 1.7%9to5Mac: 1.9%Ambiguity (Equivocation)0.0%This article: 0.0%Marcus Mendes: 0.0%9to5Mac: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Marcus Mendes: 0.1%9to5Mac: 0.1%Middle Ground0.0%This article: 0.0%Marcus Mendes: 0.0%9to5Mac: 0.1%Personal Incredulity0.0%This article: 0.0%Marcus Mendes: 0.3%9to5Mac: 0.2%Special Pleading0.0%This article: 0.0%Marcus Mendes: 0.2%9to5Mac: 0.1%Genetic Fallacy0.0%This article: 3.9%Marcus Mendes: 2.6%9to5Mac: 2.4%Unattributed Quote3.9%This article: 0.0%Marcus Mendes: 0.4%9to5Mac: 0.4%Quote-first Misdirection0.0%This article: 4.5%Marcus Mendes: 4.0%9to5Mac: 6.0%Biased Writer Voice4.5%This article: 0.0%Marcus Mendes: 0.5%9to5Mac: 2.1%Indoctrination0.0%This article: 0.0%Marcus Mendes: 0.1%9to5Mac: 0.0%Politically Left Leaning Bias0.0%This article: 0.0%Marcus Mendes: 0.0%9to5Mac: 0.0%Politically Right Leaning Bias0.0%This article: 7.6%Marcus Mendes: 11.5%9to5Mac: 15.7%Attempt to Sell a Product or S…7.6%

536 words analyzed.

Speakers

1speaker25%attributed speech404writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 13 words • 0.0% coveragePrimate Labs • 24 words • 100.0% coverageWriter's voice • 3 words • 0.0% coverageWriter's voice • 4 words • 0.0% coveragePrimate Labs • 37 words • 0.0% coverageWriter's voice • 8 words • 0.0% coverageWriter's voice • 27 words • 0.0% coveragePrimate Labs • 21 words • 100.0% coverageWriter's voice • 18 words • 0.0% coverageWriter's voice • 3 words • 0.0% coverageWriter's voice • 9 words • 0.0% coverageWriter's voice • 17 words • 0.0% coverageWriter's voice • 13 words • 0.0% coverageWriter's voice • 14 words • 0.0% coverageWriter's voice • 24 words • 0.0% coverageWriter's voice • 18 words • 0.0% coverageWriter's voice • 13 words • 0.0% coveragePrimate Labs • 23 words • 0.0% coverageWriter's voice • 24 words • 0.0% coverageWriter's voice • 23 words • 0.0% coverageWriter's voice • 15 words • 0.0% coverageWriter's voice • 15 words • 0.0% coverageWriter's voice • 21 words • 0.0% coverageWriter's voice • 17 words • 0.0% coverageWriter's voice • 18 words • 0.0% coverageWriter's voice • 20 words • 0.0% coverageWriter's voice • 16 words • 0.0% coveragePrimate Labs • 19 words • 100.0% coveragePrimate Labs • 8 words • 100.0% coverageWriter's voice • 9 words • 100.0% coverageWriter's voice • 5 words • 100.0% coverageWriter's voice • 7 words • 0.0% coverageWriter's voice • 8 words • 0.0% coverageWriter's voice • 2 words • 0.0% coverageWriter's voice • 4 words • 0.0% coverageWriter's voice • 3 words • 0.0% coverageWriter's voice • 6 words • 0.0% coverageWriter's voice • 4 words • 0.0% coverageWriter's voice • 3 words • 0.0% coverage
Selected voice

Primate Labs

100%flagged-word coverage
132 attributed words100% of attributed speech50% writer coverage
0%12.5%25.0%Attempt to Sell a Product +17.0 ptsWriter: 3.5%Primate Labs: 20.5%20.5%Biased Writer Voice+18.2 ptsWriter: 0.0%Primate Labs: 18.2%18.2%Unattributed Quote+15.9 ptsWriter: 0.0%Primate Labs: 15.9%15.9%

Attribution is sentence-level. Pattern percentages are calculated only from words assigned to that voice.

Loading…
Loading…
Loading…

Analysis

Hover over highlighted words in the article to view the associated bias or fallacy analysis.