User | StevenZZH |
Upload Date | August 01 2024 08:24 PM |
Views | 3 |
System Information | |
---|---|
Operating System | macOS 15.0 (Build 24A5298h) |
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 |
L1 Instruction Cache | 128 KB x 1 |
L1 Data Cache | 64.0 KB x 1 |
L2 Cache | 4.00 MB x 1 |
Memory Information | |
---|---|
Size | 18.00 GB |
Inference Information | |
---|---|
Framework | Core ML |
Backend | Neural Engine |
Device | Default |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
5139
961.7 IPS |
|
Image Classification (F16)
|
100% |
7622
1.43 KIPS |
|
Image Classification (I8)
|
99% |
8858
1.66 KIPS |
|
Image Segmentation (F32)
|
100% |
2121
35.4 IPS |
|
Image Segmentation (F16)
|
100% |
2111
35.3 IPS |
|
Image Segmentation (I8)
|
100% |
2154
36.0 IPS |
|
Pose Estimation (F32)
|
100% |
42111
51.0 IPS |
|
Pose Estimation (F16)
|
100% |
98238
119.0 IPS |
|
Pose Estimation (I8)
|
100% |
96798
117.2 IPS |
|
Object Detection (F32)
|
100% |
3180
237.4 IPS |
|
Object Detection (F16)
|
100% |
4680
349.4 IPS |
|
Object Detection (I8)
|
97% |
3736
278.9 IPS |
|
Face Detection (F32)
|
100% |
14131
168.0 IPS |
|
Face Detection (F16)
|
97% |
14482
172.2 IPS |
|
Face Detection (I8)
|
96% |
14672
174.4 IPS |
|
Depth Estimation (F32)
|
100% |
25521
197.9 IPS |
|
Depth Estimation (F16)
|
100% |
37579
291.4 IPS |
|
Depth Estimation (I8)
|
37% |
40310
312.6 IPS |
|
Style Transfer (F32)
|
100% |
86868
114.3 IPS |
|
Style Transfer (F16)
|
100% |
138494
182.2 IPS |
|
Style Transfer (I8)
|
100% |
139070
182.9 IPS |
|
Image Super-Resolution (F32)
|
100% |
11613
414.7 IPS |
|
Image Super-Resolution (F16)
|
100% |
21370
763.2 IPS |
|
Image Super-Resolution (I8)
|
100% |
20980
749.3 IPS |
|
Text Classification (F32)
|
100% |
2527
3.63 KIPS |
|
Text Classification (F16)
|
100% |
4316
6.20 KIPS |
|
Text Classification (I8)
|
96% |
4318
6.21 KIPS |
|
Machine Translation (F32)
|
100% |
1125
20.7 IPS |
|
Machine Translation (F16)
|
100% |
2794
51.4 IPS |
|
Machine Translation (I8)
|
99% |
1077
19.8 IPS |