User | mitgeek |
Upload Date | September 09 2024 11:05 PM |
Views | 3 |
AI Information | |
---|---|
Framework | Core ML |
Backend | Neural Engine |
Device | Apple M1 Pro |
System Information | |
---|---|
Operating System | macOS 14.6.1 (Build 23G93) |
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% |
964
179.2 IPS |
|
Image Classification (HP)
|
100% |
6907
1.28 KIPS |
|
Image Classification (Q)
|
96% |
6314
1.18 KIPS |
|
Image Segmentation (SP)
|
100% |
666
10.8 IPS |
|
Image Segmentation (HP)
|
100% |
3859
62.6 IPS |
|
Image Segmentation (Q)
|
99% |
520
8.43 IPS |
|
Pose Estimation (SP)
|
100% |
10162
11.9 IPS |
|
Pose Estimation (HP)
|
100% |
68456
79.9 IPS |
|
Pose Estimation (Q)
|
95% |
65962
77.3 IPS |
|
Object Detection (SP)
|
100% |
1096
87.0 IPS |
|
Object Detection (HP)
|
99% |
7377
586.9 IPS |
|
Object Detection (Q)
|
93% |
7120
568.1 IPS |
|
Face Detection (SP)
|
100% |
1923
22.8 IPS |
|
Face Detection (HP)
|
100% |
11171
132.7 IPS |
|
Face Detection (Q)
|
100% |
11665
138.6 IPS |
|
Depth Estimation (SP)
|
100% |
3518
27.1 IPS |
|
Depth Estimation (HP)
|
99% |
45616
351.4 IPS |
|
Depth Estimation (Q)
|
85% |
54444
425.5 IPS |
|
Style Transfer (SP)
|
100% |
12175
15.7 IPS |
|
Style Transfer (HP)
|
100% |
116995
150.4 IPS |
|
Style Transfer (Q)
|
96% |
113854
146.9 IPS |
|
Image Super-Resolution (SP)
|
100% |
2392
88.3 IPS |
|
Image Super-Resolution (HP)
|
100% |
18710
690.9 IPS |
|
Image Super-Resolution (Q)
|
99% |
23107
853.3 IPS |
|
Text Classification (SP)
|
100% |
449
599.3 IPS |
|
Text Classification (HP)
|
100% |
3469
4.63 KIPS |
|
Text Classification (Q)
|
93% |
3507
4.71 KIPS |
|
Machine Translation (SP)
|
100% |
1568
27.0 IPS |
|
Machine Translation (HP)
|
100% |
2142
36.9 IPS |
|
Machine Translation (Q)
|
98% |
2119
36.6 IPS |