Upload Date | August 16 2024 09:30 PM |
Views | 2 |
System Information | |
---|---|
Operating System | macOS 14.6.1 (Build 23G93) |
Model | MacBook Pro (13-inch Mid 2018) |
Model ID | MacBookPro15,2 |
Motherboard | Apple Inc. Mac-827FB448E656EC26 MacBookPro15,2 |
CPU Information | |
---|---|
Name | Intel Core i5-8259U |
Topology | 1 Processor, 4 Cores, 8 Threads |
Identifier | GenuineIntel Family 6 Model 142 Stepping 10 |
Base Frequency | 2.30 GHz |
Cluster 1 | 4 Cores |
L1 Instruction Cache | 32.0 KB x 4 |
L1 Data Cache | 32.0 KB x 4 |
L2 Cache | 256 KB x 4 |
L3 Cache | 6.00 MB x 1 |
Memory Information | |
---|---|
Size | 8.00 GB |
Transfer Rate | 2133 MT/s |
Type | LPDDR3 |
Inference Information | |
---|---|
Framework | Core ML |
Backend | CPU |
Device | Default |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
267
50.0 IPS |
|
Image Classification (F16)
|
100% |
210
39.2 IPS |
|
Image Classification (I8)
|
99% |
209
39.2 IPS |
|
Image Segmentation (F32)
|
100% |
245
4.09 IPS |
|
Image Segmentation (F16)
|
100% |
156
2.61 IPS |
|
Image Segmentation (I8)
|
100% |
173
2.90 IPS |
|
Pose Estimation (F32)
|
100% |
2498
3.02 IPS |
|
Pose Estimation (F16)
|
100% |
1500
1.82 IPS |
|
Pose Estimation (I8)
|
100% |
1505
1.82 IPS |
|
Object Detection (F32)
|
100% |
273
20.4 IPS |
|
Object Detection (F16)
|
100% |
234
17.5 IPS |
|
Object Detection (I8)
|
97% |
275
20.5 IPS |
|
Face Detection (F32)
|
100% |
784
9.33 IPS |
|
Face Detection (F16)
|
98% |
648
7.71 IPS |
|
Face Detection (I8)
|
97% |
642
7.63 IPS |
|
Depth Estimation (F32)
|
100% |
1000
7.76 IPS |
|
Depth Estimation (F16)
|
100% |
817
6.33 IPS |
|
Depth Estimation (I8)
|
99% |
816
6.33 IPS |
|
Style Transfer (F32)
|
100% |
2931
3.86 IPS |
|
Style Transfer (F16)
|
100% |
2416
3.18 IPS |
|
Style Transfer (I8)
|
100% |
2405
3.16 IPS |
|
Image Super-Resolution (F32)
|
100% |
1323
47.2 IPS |
|
Image Super-Resolution (F16)
|
100% |
940
33.6 IPS |
|
Image Super-Resolution (I8)
|
100% |
882
31.5 IPS |
|
Text Classification (F32)
|
100% |
367
526.9 IPS |
|
Text Classification (F16)
|
100% |
360
517.0 IPS |
|
Text Classification (I8)
|
96% |
338
485.4 IPS |
|
Machine Translation (F32)
|
100% |
222
4.09 IPS |
|
Machine Translation (F16)
|
100% |
269
4.95 IPS |
|
Machine Translation (I8)
|
99% |
215
3.95 IPS |