Upload Date | August 15 2024 05:58 PM |
Views | 1 |
System Information | |
---|---|
Operating System | macOS 14.6.1 (Build 23G93) |
Model | Mac mini (2023) |
Model ID | Mac14,12 |
Motherboard | Mac14,12 |
CPU Information | |
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Name | Apple M2 Pro |
Topology | 1 Processor, 10 Cores |
Identifier | Apple M2 Pro |
Base Frequency | 3.48 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 | |
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Framework | Core ML |
Backend | CPU |
Device | Default |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
1437
269.0 IPS |
|
Image Classification (F16)
|
100% |
1814
339.5 IPS |
|
Image Classification (I8)
|
99% |
1823
341.2 IPS |
|
Image Segmentation (F32)
|
100% |
868
14.5 IPS |
|
Image Segmentation (F16)
|
100% |
864
14.4 IPS |
|
Image Segmentation (I8)
|
100% |
865
14.4 IPS |
|
Pose Estimation (F32)
|
100% |
5992
7.26 IPS |
|
Pose Estimation (F16)
|
100% |
13961
16.9 IPS |
|
Pose Estimation (I8)
|
100% |
14023
17.0 IPS |
|
Object Detection (F32)
|
100% |
1456
108.7 IPS |
|
Object Detection (F16)
|
100% |
1930
144.1 IPS |
|
Object Detection (I8)
|
97% |
1459
108.9 IPS |
|
Face Detection (F32)
|
100% |
2895
34.4 IPS |
|
Face Detection (F16)
|
97% |
4284
50.9 IPS |
|
Face Detection (I8)
|
97% |
4219
50.2 IPS |
|
Depth Estimation (F32)
|
100% |
5398
41.9 IPS |
|
Depth Estimation (F16)
|
100% |
8439
65.4 IPS |
|
Depth Estimation (I8)
|
99% |
8457
65.6 IPS |
|
Style Transfer (F32)
|
100% |
16370
21.5 IPS |
|
Style Transfer (F16)
|
100% |
25822
34.0 IPS |
|
Style Transfer (I8)
|
100% |
25468
33.5 IPS |
|
Image Super-Resolution (F32)
|
100% |
3947
141.0 IPS |
|
Image Super-Resolution (F16)
|
100% |
4854
173.3 IPS |
|
Image Super-Resolution (I8)
|
100% |
4917
175.6 IPS |
|
Text Classification (F32)
|
100% |
2097
3.01 KIPS |
|
Text Classification (F16)
|
100% |
3277
4.71 KIPS |
|
Text Classification (I8)
|
96% |
3279
4.71 KIPS |
|
Machine Translation (F32)
|
100% |
1171
21.6 IPS |
|
Machine Translation (F16)
|
100% |
1528
28.1 IPS |
|
Machine Translation (I8)
|
99% |
1160
21.4 IPS |