User | Aech |
Upload Date | August 21 2024 12:36 PM |
Views | 1 |
System Information | |
---|---|
Operating System | macOS 15.0 (Build 24A5320a) |
Model | MacBook Pro (14-inch, Nov 2023) |
Model ID | Mac15,6 |
Motherboard | Mac15,6 |
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 | 36.00 GB |
Inference Information | |
---|---|
Framework | Core ML |
Backend | Neural Engine |
Device | Default |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
5294
990.7 IPS |
|
Image Classification (F16)
|
100% |
12800
2.40 KIPS |
|
Image Classification (I8)
|
99% |
13786
2.58 KIPS |
|
Image Segmentation (F32)
|
100% |
2160
36.1 IPS |
|
Image Segmentation (F16)
|
100% |
2580
43.1 IPS |
|
Image Segmentation (I8)
|
100% |
2547
42.5 IPS |
|
Pose Estimation (F32)
|
100% |
42094
51.0 IPS |
|
Pose Estimation (F16)
|
100% |
109010
132.0 IPS |
|
Pose Estimation (I8)
|
100% |
110629
134.0 IPS |
|
Object Detection (F32)
|
100% |
3138
234.3 IPS |
|
Object Detection (F16)
|
100% |
6462
482.4 IPS |
|
Object Detection (I8)
|
97% |
3729
278.4 IPS |
|
Face Detection (F32)
|
100% |
13690
162.8 IPS |
|
Face Detection (F16)
|
97% |
21534
256.0 IPS |
|
Face Detection (I8)
|
96% |
22993
273.4 IPS |
|
Depth Estimation (F32)
|
100% |
26103
202.4 IPS |
|
Depth Estimation (F16)
|
100% |
52511
407.2 IPS |
|
Depth Estimation (I8)
|
37% |
52364
406.1 IPS |
|
Style Transfer (F32)
|
100% |
86956
114.4 IPS |
|
Style Transfer (F16)
|
100% |
160036
210.5 IPS |
|
Style Transfer (I8)
|
100% |
156620
206.0 IPS |
|
Image Super-Resolution (F32)
|
100% |
10114
361.2 IPS |
|
Image Super-Resolution (F16)
|
100% |
37228
1.33 KIPS |
|
Image Super-Resolution (I8)
|
100% |
37354
1.33 KIPS |
|
Text Classification (F32)
|
100% |
2540
3.65 KIPS |
|
Text Classification (F16)
|
100% |
4395
6.32 KIPS |
|
Text Classification (I8)
|
96% |
4387
6.30 KIPS |
|
Machine Translation (F32)
|
100% |
1173
21.6 IPS |
|
Machine Translation (F16)
|
100% |
2838
52.2 IPS |
|
Machine Translation (I8)
|
99% |
1041
19.2 IPS |