Upload Date | August 15 2024 06:01 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 | GPU |
Device | Default |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
4651
870.2 IPS |
|
Image Classification (F16)
|
100% |
4701
879.8 IPS |
|
Image Classification (I8)
|
99% |
4162
778.9 IPS |
|
Image Segmentation (F32)
|
100% |
1869
31.2 IPS |
|
Image Segmentation (F16)
|
100% |
1821
30.4 IPS |
|
Image Segmentation (I8)
|
100% |
1851
30.9 IPS |
|
Pose Estimation (F32)
|
100% |
33992
41.2 IPS |
|
Pose Estimation (F16)
|
100% |
36039
43.6 IPS |
|
Pose Estimation (I8)
|
100% |
35268
42.7 IPS |
|
Object Detection (F32)
|
100% |
3137
234.2 IPS |
|
Object Detection (F16)
|
100% |
3204
239.2 IPS |
|
Object Detection (I8)
|
97% |
3133
233.9 IPS |
|
Face Detection (F32)
|
100% |
13405
159.4 IPS |
|
Face Detection (F16)
|
98% |
14310
170.1 IPS |
|
Face Detection (I8)
|
97% |
13660
162.4 IPS |
|
Depth Estimation (F32)
|
100% |
22311
173.0 IPS |
|
Depth Estimation (F16)
|
100% |
17072
132.4 IPS |
|
Depth Estimation (I8)
|
37% |
21497
166.7 IPS |
|
Style Transfer (F32)
|
100% |
64953
85.4 IPS |
|
Style Transfer (F16)
|
100% |
62767
82.6 IPS |
|
Style Transfer (I8)
|
100% |
65068
85.6 IPS |
|
Image Super-Resolution (F32)
|
100% |
8227
293.8 IPS |
|
Image Super-Resolution (F16)
|
100% |
9308
332.4 IPS |
|
Image Super-Resolution (I8)
|
100% |
8871
316.8 IPS |
|
Text Classification (F32)
|
100% |
686
985.3 IPS |
|
Text Classification (F16)
|
100% |
581
834.8 IPS |
|
Text Classification (I8)
|
96% |
624
897.4 IPS |
|
Machine Translation (F32)
|
100% |
674
12.4 IPS |
|
Machine Translation (F16)
|
100% |
658
12.1 IPS |
|
Machine Translation (I8)
|
99% |
679
12.5 IPS |