Upload Date | September 16 2024 11:24 AM |
Views | 3 |
AI Information | |
---|---|
Framework | Core ML |
Backend | GPU |
Device | Apple M2 Pro |
System Information | |
---|---|
Operating System | macOS 15.1 (Build 24B5035e) |
Model | Mac mini (2023) |
Model ID | Mac14,12 |
Motherboard | Mac14,12 |
CPU Information | |
---|---|
Name | Apple M2 Pro |
Topology | 1 Processor, 10 Cores |
Identifier | Apple M2 Pro |
Base Frequency | 3.47 GHz |
Cluster 1 | 6 Cores |
Cluster 2 | 4 Cores |
Memory Information | |
---|---|
Size | 16.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
5019
933.5 IPS |
|
Image Classification (HP)
|
100% |
5132
954.4 IPS |
|
Image Classification (Q)
|
97% |
3847
718.0 IPS |
|
Image Segmentation (SP)
|
100% |
7238
117.3 IPS |
|
Image Segmentation (HP)
|
100% |
7459
120.9 IPS |
|
Image Segmentation (Q)
|
99% |
7053
114.3 IPS |
|
Pose Estimation (SP)
|
100% |
37180
43.4 IPS |
|
Pose Estimation (HP)
|
100% |
39367
45.9 IPS |
|
Pose Estimation (Q)
|
95% |
36067
42.3 IPS |
|
Object Detection (SP)
|
100% |
4758
377.4 IPS |
|
Object Detection (HP)
|
100% |
4931
391.1 IPS |
|
Object Detection (Q)
|
91% |
3997
319.4 IPS |
|
Face Detection (SP)
|
100% |
16675
198.1 IPS |
|
Face Detection (HP)
|
100% |
17439
207.2 IPS |
|
Face Detection (Q)
|
100% |
12142
144.3 IPS |
|
Depth Estimation (SP)
|
100% |
23920
184.3 IPS |
|
Depth Estimation (HP)
|
99% |
24905
191.9 IPS |
|
Depth Estimation (Q)
|
85% |
19792
154.7 IPS |
|
Style Transfer (SP)
|
100% |
68324
87.8 IPS |
|
Style Transfer (HP)
|
100% |
74739
96.1 IPS |
|
Style Transfer (Q)
|
96% |
69252
89.4 IPS |
|
Image Super-Resolution (SP)
|
100% |
13208
487.7 IPS |
|
Image Super-Resolution (HP)
|
100% |
13781
508.9 IPS |
|
Image Super-Resolution (Q)
|
99% |
10583
390.8 IPS |
|
Text Classification (SP)
|
100% |
2260
3.02 KIPS |
|
Text Classification (HP)
|
100% |
3847
5.14 KIPS |
|
Text Classification (Q)
|
93% |
3816
5.12 KIPS |
|
Machine Translation (SP)
|
100% |
1166
20.1 IPS |
|
Machine Translation (HP)
|
100% |
1143
19.7 IPS |
|
Machine Translation (Q)
|
98% |
1645
28.4 IPS |