Upload Date | August 16 2024 03:41 PM |
Views | 2 |
System Information | |
---|---|
Operating System | macOS 15.0 (Build 24A5320a) |
Model | MacBook Pro (14-inch, 2023) |
Model ID | Mac14,9 |
Motherboard | Mac14,9 |
CPU Information | |
---|---|
Name | Apple M2 Pro |
Topology | 1 Processor, 12 Cores |
Identifier | Apple M2 Pro |
Base Frequency | 3.48 GHz |
Cluster 1 | 8 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 | |
---|---|
Framework | Core ML |
Backend | GPU |
Device | Default |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
4698
879.2 IPS |
|
Image Classification (F16)
|
100% |
4721
883.4 IPS |
|
Image Classification (I8)
|
99% |
4228
791.3 IPS |
|
Image Segmentation (F32)
|
100% |
2099
35.1 IPS |
|
Image Segmentation (F16)
|
100% |
2100
35.1 IPS |
|
Image Segmentation (I8)
|
100% |
2080
34.7 IPS |
|
Pose Estimation (F32)
|
100% |
41000
49.6 IPS |
|
Pose Estimation (F16)
|
100% |
43772
53.0 IPS |
|
Pose Estimation (I8)
|
100% |
42262
51.2 IPS |
|
Object Detection (F32)
|
100% |
3184
237.7 IPS |
|
Object Detection (F16)
|
100% |
3290
245.6 IPS |
|
Object Detection (I8)
|
97% |
3144
234.7 IPS |
|
Face Detection (F32)
|
100% |
14339
170.5 IPS |
|
Face Detection (F16)
|
98% |
14982
178.1 IPS |
|
Face Detection (I8)
|
97% |
14644
174.1 IPS |
|
Depth Estimation (F32)
|
100% |
23927
185.6 IPS |
|
Depth Estimation (F16)
|
100% |
25245
195.8 IPS |
|
Depth Estimation (I8)
|
99% |
23279
180.5 IPS |
|
Style Transfer (F32)
|
100% |
73419
96.6 IPS |
|
Style Transfer (F16)
|
100% |
71653
94.3 IPS |
|
Style Transfer (I8)
|
100% |
70005
92.1 IPS |
|
Image Super-Resolution (F32)
|
100% |
12108
432.4 IPS |
|
Image Super-Resolution (F16)
|
100% |
12412
443.3 IPS |
|
Image Super-Resolution (I8)
|
100% |
11697
417.7 IPS |
|
Text Classification (F32)
|
100% |
2104
3.02 KIPS |
|
Text Classification (F16)
|
100% |
3567
5.13 KIPS |
|
Text Classification (I8)
|
96% |
3545
5.09 KIPS |
|
Machine Translation (F32)
|
100% |
983
18.1 IPS |
|
Machine Translation (F16)
|
100% |
982
18.1 IPS |
|
Machine Translation (I8)
|
99% |
805
14.8 IPS |