User | StevenZZH |
Upload Date | January 09 2025 06:18 AM |
Views | 2 |
AI Information | |
---|---|
Framework | Core ML |
Backend | GPU |
Device | Apple M3 Pro |
System Information | |
---|---|
Operating System | macOS 15.3 (Build 24D5034f) |
Model | MacBook Pro (16-inch, Nov 2023) |
Model ID | Mac15,7 |
Motherboard | Mac15,7 |
CPU Information | |
---|---|
Name | Apple M3 Pro |
Topology | 1 Processor, 12 Cores |
Identifier | Apple M3 Pro |
Base Frequency | 4.05 GHz |
Cluster 1 | 6 Cores |
Cluster 2 | 6 Cores |
Memory Information | |
---|---|
Size | 18.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
5671
1.05 KIPS |
|
Image Classification (HP)
|
100% |
6217
1.16 KIPS |
|
Image Classification (Q)
|
97% |
5130
957.3 IPS |
|
Image Segmentation (SP)
|
100% |
6970
113.0 IPS |
|
Image Segmentation (HP)
|
100% |
9418
152.7 IPS |
|
Image Segmentation (Q)
|
99% |
10482
169.9 IPS |
|
Pose Estimation (SP)
|
100% |
42851
50.0 IPS |
|
Pose Estimation (HP)
|
100% |
45942
53.6 IPS |
|
Pose Estimation (Q)
|
95% |
43085
50.5 IPS |
|
Object Detection (SP)
|
100% |
5741
455.4 IPS |
|
Object Detection (HP)
|
100% |
6156
488.3 IPS |
|
Object Detection (Q)
|
91% |
5084
406.3 IPS |
|
Face Detection (SP)
|
100% |
15631
185.7 IPS |
|
Face Detection (HP)
|
100% |
20597
244.7 IPS |
|
Face Detection (Q)
|
100% |
15496
184.1 IPS |
|
Depth Estimation (SP)
|
100% |
25632
197.5 IPS |
|
Depth Estimation (HP)
|
99% |
28567
220.1 IPS |
|
Depth Estimation (Q)
|
85% |
24382
190.6 IPS |
|
Style Transfer (SP)
|
100% |
87688
112.7 IPS |
|
Style Transfer (HP)
|
100% |
101689
130.7 IPS |
|
Style Transfer (Q)
|
96% |
93701
120.9 IPS |
|
Image Super-Resolution (SP)
|
100% |
14517
536.1 IPS |
|
Image Super-Resolution (HP)
|
100% |
16055
592.8 IPS |
|
Image Super-Resolution (Q)
|
99% |
12001
443.1 IPS |
|
Text Classification (SP)
|
100% |
2770
3.70 KIPS |
|
Text Classification (HP)
|
100% |
4774
6.37 KIPS |
|
Text Classification (Q)
|
93% |
4758
6.39 KIPS |
|
Machine Translation (SP)
|
100% |
2300
39.6 IPS |
|
Machine Translation (HP)
|
100% |
2139
36.9 IPS |
|
Machine Translation (Q)
|
98% |
2035
35.2 IPS |