| User | brkracing |
| Upload Date | March 24 2026 01:20 PM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.7.4 (Build 24G517) |
| Model | MacBook Pro (14-inch, 2021) |
| Model ID | MacBookPro18,3 |
| Motherboard | MacBookPro18,3 |
| CPU Information | |
|---|---|
| Name | Apple M1 Pro |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Pro |
| Base Frequency | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4231
786.8 IPS |
|
|
Image Classification (HP)
|
100% |
4131
768.2 IPS |
|
|
Image Classification (Q)
|
96% |
3982
743.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
7453
120.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
7531
122.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
7122
115.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
32732
38.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
35971
42.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
34515
40.4 IPS |
|
|
Object Detection (SP)
|
100% |
3937
312.2 IPS |
|
|
Object Detection (HP)
|
100% |
4047
321.0 IPS |
|
|
Object Detection (Q)
|
92% |
3874
309.2 IPS |
|
|
Face Detection (SP)
|
100% |
14006
166.4 IPS |
|
|
Face Detection (HP)
|
100% |
14746
175.2 IPS |
|
|
Face Detection (Q)
|
100% |
12622
150.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
19818
152.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
18943
145.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
17540
137.0 IPS |
|
|
Style Transfer (SP)
|
100% |
53954
69.4 IPS |
|
|
Style Transfer (HP)
|
100% |
64757
83.2 IPS |
|
|
Style Transfer (Q)
|
96% |
63044
81.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10944
404.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11691
431.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9956
367.6 IPS |
|
|
Text Classification (SP)
|
100% |
2285
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
4113
5.49 KIPS |
|
|
Text Classification (Q)
|
93% |
4018
5.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1346
23.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1519
26.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1415
24.4 IPS |