| User | SybrenV |
| Upload Date | August 05 2025 08:02 PM |
| Views | 11 |
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5316i) |
| Model | MacBook Pro (14-inch, 2021) |
| Model ID | MacBookPro18,3 |
| Motherboard | MacBookPro18,3 |
| CPU Information | |
|---|---|
| Name | Apple M1 Pro |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M1 Pro |
| Base Frequency | 3.22 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1362
253.2 IPS |
|
|
Image Classification (HP)
|
100% |
4733
880.1 IPS |
|
|
Image Classification (Q)
|
96% |
4765
889.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1516
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
8105
131.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
9179
148.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11030
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
62005
72.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
62192
72.9 IPS |
|
|
Object Detection (SP)
|
100% |
1556
123.4 IPS |
|
|
Object Detection (HP)
|
99% |
6650
529.0 IPS |
|
|
Object Detection (Q)
|
91% |
6373
509.2 IPS |
|
|
Face Detection (SP)
|
100% |
3319
39.4 IPS |
|
|
Face Detection (HP)
|
100% |
11736
139.4 IPS |
|
|
Face Detection (Q)
|
100% |
11154
132.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5854
45.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
33620
259.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
32685
255.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22528
29.0 IPS |
|
|
Style Transfer (HP)
|
100% |
99082
127.4 IPS |
|
|
Style Transfer (Q)
|
96% |
98479
127.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4292
158.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14050
518.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13883
512.6 IPS |
|
|
Text Classification (SP)
|
100% |
2255
3.01 KIPS |
|
|
Text Classification (HP)
|
99% |
3876
5.17 KIPS |
|
|
Text Classification (Q)
|
93% |
3873
5.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3059
52.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3787
65.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3768
65.1 IPS |