Upload Date | August 16 2024 10:07 PM |
Views | 3 |
System Information | |
---|---|
Operating System | macOS 14.6.1 (Build 23G93) |
Model | MacBook Pro (14-inch, Nov 2023) |
Model ID | Mac15,8 |
Motherboard | Mac15,8 |
CPU Information | |
---|---|
Name | Apple M3 Max |
Topology | 1 Processor, 16 Cores |
Identifier | Apple M3 Max |
Base Frequency | 4.05 GHz |
Cluster 1 | 12 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 | 128.00 GB |
Inference Information | |
---|---|
Framework | Core ML |
Backend | GPU |
Device | Default |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
6770
1.27 KIPS |
|
Image Classification (F16)
|
100% |
7024
1.31 KIPS |
|
Image Classification (I8)
|
99% |
6580
1.23 KIPS |
|
Image Segmentation (F32)
|
100% |
3040
50.8 IPS |
|
Image Segmentation (F16)
|
100% |
3034
50.7 IPS |
|
Image Segmentation (I8)
|
100% |
3117
52.0 IPS |
|
Pose Estimation (F32)
|
100% |
83839
101.5 IPS |
|
Pose Estimation (F16)
|
100% |
86623
104.9 IPS |
|
Pose Estimation (I8)
|
100% |
84161
101.9 IPS |
|
Object Detection (F32)
|
100% |
5102
380.9 IPS |
|
Object Detection (F16)
|
100% |
5251
392.0 IPS |
|
Object Detection (I8)
|
97% |
5044
376.6 IPS |
|
Face Detection (F32)
|
100% |
24116
286.7 IPS |
|
Face Detection (F16)
|
98% |
26162
311.1 IPS |
|
Face Detection (I8)
|
97% |
22936
272.7 IPS |
|
Depth Estimation (F32)
|
100% |
35785
277.5 IPS |
|
Depth Estimation (F16)
|
100% |
37662
292.1 IPS |
|
Depth Estimation (I8)
|
37% |
37469
290.6 IPS |
|
Style Transfer (F32)
|
100% |
160180
210.7 IPS |
|
Style Transfer (F16)
|
100% |
174893
230.1 IPS |
|
Style Transfer (I8)
|
100% |
166509
219.0 IPS |
|
Image Super-Resolution (F32)
|
100% |
17082
610.1 IPS |
|
Image Super-Resolution (F16)
|
100% |
8996
321.3 IPS |
|
Image Super-Resolution (I8)
|
100% |
9876
352.7 IPS |
|
Text Classification (F32)
|
100% |
1329
1.91 KIPS |
|
Text Classification (F16)
|
100% |
707
1.02 KIPS |
|
Text Classification (I8)
|
96% |
599
861.2 IPS |
|
Machine Translation (F32)
|
100% |
1090
20.1 IPS |
|
Machine Translation (F16)
|
100% |
1083
19.9 IPS |
|
Machine Translation (I8)
|
99% |
1011
18.6 IPS |