| Upload Date | December 01 2025 09:32 PM |
| Views | 10 |
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| Model | MacBook Pro (16-inch, 2021) |
| Model ID | MacBookPro18,1 |
| Motherboard | MacBookPro18,1 |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4082
759.1 IPS |
|
|
Image Classification (HP)
|
100% |
4281
796.1 IPS |
|
|
Image Classification (Q)
|
97% |
3165
590.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
6358
103.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
6559
106.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
6279
101.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
32882
38.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
34972
40.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
31792
37.3 IPS |
|
|
Object Detection (SP)
|
100% |
4043
320.7 IPS |
|
|
Object Detection (HP)
|
100% |
4108
325.9 IPS |
|
|
Object Detection (Q)
|
91% |
3205
256.1 IPS |
|
|
Face Detection (SP)
|
100% |
14125
167.8 IPS |
|
|
Face Detection (HP)
|
100% |
14698
174.6 IPS |
|
|
Face Detection (Q)
|
100% |
10344
122.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
19843
152.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
20654
159.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
16167
126.4 IPS |
|
|
Style Transfer (SP)
|
100% |
53693
69.0 IPS |
|
|
Style Transfer (HP)
|
100% |
63650
81.8 IPS |
|
|
Style Transfer (Q)
|
96% |
59099
76.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10946
404.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11460
423.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8490
313.5 IPS |
|
|
Text Classification (SP)
|
100% |
2284
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3964
5.29 KIPS |
|
|
Text Classification (Q)
|
93% |
3929
5.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
790
13.6 IPS |
|
|
Machine Translation (HP)
|
100% |
840
14.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1381
23.9 IPS |