# Object Detection on Intel Core i7 CPU 2.6 GHz (test)

Source: [Object Detection on Intel Core i7 CPU 2.6 GHz (test)](<https://www.sota2.com/research/sota/object-detection-on-intel-core-i7-cpu-2-6-ghz-test>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2026-02-26T05:48:28.296Z

Evaluation of Object Detection latency performance measured on an Intel Core i7 CPU running at 2.6 GHz, using the test configuration.

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

| Scope | Recorded value |
| --- | --- |
| Task | Object Detection |
| Dataset (including any stated split) | Intel Core i7 CPU 2.6 GHz (test) |
| Metric | Latency (ms) |
| Unit | TIME |
| Direction | Lower is better |
| Results loaded | 9 of 9 |
| Coverage | All results currently returned for this benchmark |

Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol.

## Metrics

- [Latency (ms)](<https://www.sota2.com/research/sota/object-detection-on-intel-core-i7-cpu-2-6-ghz-test.md?metric=Latency%20(ms)>): Lower is better; unit: TIME.

## Recorded results

| Method | Latency (ms) | Result date | Report paper |
| --- | --- | --- | --- |
| YOLOv6-N | 60.3 | Not recorded | 68fa6e591e209131cea3f445 |
| YOLOv5-N | 118.9 | Not recorded | 68fa6e591e209131cea3f445 |
| YOLOv7-Tiny | 137.5 | Not recorded | 68fa6e591e209131cea3f445 |
| YOLOX-Tiny | 144.2 | Not recorded | 68fa6e591e209131cea3f445 |
| YOLOv6-S | 148 | Not recorded | 68fa6e591e209131cea3f445 |
| YOLOX-S | 164.6 | Not recorded | 68fa6e591e209131cea3f445 |
| YOLOv5-S | 202.2 | Not recorded | 68fa6e591e209131cea3f445 |
| YOLOv6-M | 269.3 | Not recorded | 68fa6e591e209131cea3f445 |
| YOLOX-M | 357.9 | Not recorded | 68fa6e591e209131cea3f445 |

### YOLOv6-N

Latency (ms): 60.3. Result ID: 69902beb3a6c314849fea0e8.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6e591e209131cea3f445.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6e591e209131cea3f445.md>)

[Implementation](<https://github.com/meituan/YOLOv6>)

Recorded evaluation configuration: {"Input":640,"Precision":"FP32","Batch Size":1,"Backend":"OpenCV DNN"}. This record does not assert independent reproduction.

### YOLOv5-N

Latency (ms): 118.9. Result ID: 69902beb3a6c314849fea0e2.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6e591e209131cea3f445.md>)

Recorded evaluation configuration: {"Input":640,"Precision":"FP32","Batch Size":1,"Backend":"OpenCV DNN"}. This record does not assert independent reproduction.

### YOLOv7-Tiny

Latency (ms): 137.5. Result ID: 69902beb3a6c314849fea0e7.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6e591e209131cea3f445.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6cfa1e209131cea370e0.md>)

[Implementation](<https://github.com/WongKinYiu/yolov7>)

Recorded evaluation configuration: {"Input":640,"Precision":"FP32","Batch Size":1,"Backend":"OpenCV DNN"}. This record does not assert independent reproduction.

### YOLOX-Tiny

Latency (ms): 144.2. Result ID: 69902beb3a6c314849fea0e4.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6e591e209131cea3f445.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6a7e1e209131cea28a2b.md>)

[Implementation](<https://github.com/Megvii-BaseDetection/YOLOX>)

Recorded evaluation configuration: {"Input":416,"Precision":"FP32","Batch Size":1,"Backend":"OpenCV DNN"}. This record does not assert independent reproduction.

### YOLOv6-S

Latency (ms): 148. Result ID: 69902beb3a6c314849fea0e9.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6e591e209131cea3f445.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6e591e209131cea3f445.md>)

[Implementation](<https://github.com/meituan/YOLOv6>)

Recorded evaluation configuration: {"Input":640,"Precision":"FP32","Batch Size":1,"Backend":"OpenCV DNN"}. This record does not assert independent reproduction.

### YOLOX-S

Latency (ms): 164.6. Result ID: 69902beb3a6c314849fea0e5.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6e591e209131cea3f445.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6a7e1e209131cea28a2b.md>)

[Implementation](<https://github.com/Megvii-BaseDetection/YOLOX>)

Recorded evaluation configuration: {"Input":640,"Precision":"FP32","Batch Size":1,"Backend":"OpenCV DNN"}. This record does not assert independent reproduction.

### YOLOv5-S

Latency (ms): 202.2. Result ID: 69902beb3a6c314849fea0e3.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6e591e209131cea3f445.md>)

Recorded evaluation configuration: {"Input":640,"Precision":"FP32","Batch Size":1,"Backend":"OpenCV DNN"}. This record does not assert independent reproduction.

### YOLOv6-M

Latency (ms): 269.3. Result ID: 69902beb3a6c314849fea0ea.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6e591e209131cea3f445.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6e591e209131cea3f445.md>)

[Implementation](<https://github.com/meituan/YOLOv6>)

Recorded evaluation configuration: {"Input":640,"Precision":"FP32","Batch Size":1,"Backend":"OpenCV DNN"}. This record does not assert independent reproduction.

### YOLOX-M

Latency (ms): 357.9. Result ID: 69902beb3a6c314849fea0e6.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6e591e209131cea3f445.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6a7e1e209131cea28a2b.md>)

[Implementation](<https://github.com/Megvii-BaseDetection/YOLOX>)

Recorded evaluation configuration: {"Input":640,"Precision":"FP32","Batch Size":1,"Backend":"OpenCV DNN"}. This record does not assert independent reproduction.

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