Upload Date | August 15 2024 05:34 PM |
Views | 1 |
System Information | |
---|---|
Operating System | macOS 14.5 (Build 23F79) |
Model | MacBook Pro (14-inch, 2023) |
Model ID | Mac14,9 |
Motherboard | Mac14,9 |
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 |
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 | 16.00 GB |
Inference Information | |
---|---|
Framework | Core ML |
Backend | Neural Engine |
Device | Default |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
4572
855.5 IPS |
|
Image Classification (F16)
|
100% |
6874
1.29 KIPS |
|
Image Classification (I8)
|
99% |
8259
1.55 KIPS |
|
Image Segmentation (F32)
|
100% |
1956
32.7 IPS |
|
Image Segmentation (F16)
|
100% |
1866
31.2 IPS |
|
Image Segmentation (I8)
|
100% |
1846
30.8 IPS |
|
Pose Estimation (F32)
|
100% |
34070
41.3 IPS |
|
Pose Estimation (F16)
|
100% |
75486
91.4 IPS |
|
Pose Estimation (I8)
|
100% |
76792
93.0 IPS |
|
Object Detection (F32)
|
100% |
3134
234.0 IPS |
|
Object Detection (F16)
|
100% |
3806
284.2 IPS |
|
Object Detection (I8)
|
97% |
3100
231.5 IPS |
|
Face Detection (F32)
|
100% |
13883
165.1 IPS |
|
Face Detection (F16)
|
97% |
11098
132.0 IPS |
|
Face Detection (I8)
|
96% |
10976
130.5 IPS |
|
Depth Estimation (F32)
|
100% |
21384
165.8 IPS |
|
Depth Estimation (F16)
|
100% |
35136
272.5 IPS |
|
Depth Estimation (I8)
|
37% |
35376
274.3 IPS |
|
Style Transfer (F32)
|
100% |
64874
85.3 IPS |
|
Style Transfer (F16)
|
100% |
133718
175.9 IPS |
|
Style Transfer (I8)
|
100% |
138029
181.6 IPS |
|
Image Super-Resolution (F32)
|
100% |
8816
314.9 IPS |
|
Image Super-Resolution (F16)
|
100% |
17915
639.8 IPS |
|
Image Super-Resolution (I8)
|
100% |
16500
589.3 IPS |
|
Text Classification (F32)
|
100% |
494
710.6 IPS |
|
Text Classification (F16)
|
100% |
2457
3.53 KIPS |
|
Text Classification (I8)
|
96% |
2707
3.89 KIPS |
|
Machine Translation (F32)
|
100% |
936
17.2 IPS |
|
Machine Translation (F16)
|
100% |
2426
44.6 IPS |
|
Machine Translation (I8)
|
99% |
834
15.4 IPS |