Upload Date | August 17 2024 04:13 AM |
Views | 1 |
System Information | |
---|---|
Operating System | macOS 15.0 (Build 24A5320a) |
Model | MacBook Pro (16-inch Late 2019) |
Model ID | MacBookPro16,1 |
Motherboard | Apple Inc. Mac-E1008331FDC96864 MacBookPro16,1 |
CPU Information | |
---|---|
Name | Intel Core i7-9750H |
Topology | 1 Processor, 6 Cores, 12 Threads |
Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
Base Frequency | 2.60 GHz |
Cluster 1 | 6 Cores |
L1 Instruction Cache | 32.0 KB x 6 |
L1 Data Cache | 32.0 KB x 6 |
L2 Cache | 256 KB x 6 |
L3 Cache | 12.0 MB x 1 |
Memory Information | |
---|---|
Size | 16.00 GB |
Transfer Rate | 2667 MT/s |
Type | DDR4 |
Inference Information | |
---|---|
Framework | Core ML |
Backend | CPU |
Device | Default |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
402
75.2 IPS |
|
Image Classification (F16)
|
100% |
309
57.8 IPS |
|
Image Classification (I8)
|
99% |
305
57.0 IPS |
|
Image Segmentation (F32)
|
100% |
271
4.53 IPS |
|
Image Segmentation (F16)
|
100% |
253
4.22 IPS |
|
Image Segmentation (I8)
|
100% |
251
4.19 IPS |
|
Pose Estimation (F32)
|
100% |
2525
3.06 IPS |
|
Pose Estimation (F16)
|
100% |
739
0.90 IPS |
|
Pose Estimation (I8)
|
100% |
610
0.74 IPS |
|
Object Detection (F32)
|
100% |
387
28.9 IPS |
|
Object Detection (F16)
|
100% |
340
25.4 IPS |
|
Object Detection (I8)
|
97% |
399
29.8 IPS |
|
Face Detection (F32)
|
100% |
885
10.5 IPS |
|
Face Detection (F16)
|
98% |
695
8.27 IPS |
|
Face Detection (I8)
|
97% |
683
8.12 IPS |
|
Depth Estimation (F32)
|
100% |
1307
10.1 IPS |
|
Depth Estimation (F16)
|
100% |
1030
7.99 IPS |
|
Depth Estimation (I8)
|
99% |
1023
7.94 IPS |
|
Style Transfer (F32)
|
100% |
3713
4.88 IPS |
|
Style Transfer (F16)
|
100% |
2580
3.39 IPS |
|
Style Transfer (I8)
|
100% |
2587
3.40 IPS |
|
Image Super-Resolution (F32)
|
100% |
1440
51.4 IPS |
|
Image Super-Resolution (F16)
|
100% |
581
20.7 IPS |
|
Image Super-Resolution (I8)
|
100% |
584
20.9 IPS |
|
Text Classification (F32)
|
100% |
401
575.8 IPS |
|
Text Classification (F16)
|
100% |
402
578.0 IPS |
|
Text Classification (I8)
|
96% |
405
582.5 IPS |
|
Machine Translation (F32)
|
100% |
249
4.59 IPS |
|
Machine Translation (F16)
|
100% |
312
5.75 IPS |
|
Machine Translation (I8)
|
99% |
248
4.56 IPS |