Upload Date | August 16 2024 07:51 PM |
Views | 2 |
System Information | |
---|---|
Operating System | macOS 14.6.1 (Build 23G93) |
Model | MacBook Pro (16-inch, Nov 2023) |
Model ID | Mac15,9 |
Motherboard | Mac15,9 |
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% |
6832
1.28 KIPS |
|
Image Classification (F16)
|
100% |
7145
1.34 KIPS |
|
Image Classification (I8)
|
99% |
6638
1.24 KIPS |
|
Image Segmentation (F32)
|
100% |
2959
49.4 IPS |
|
Image Segmentation (F16)
|
100% |
2917
48.7 IPS |
|
Image Segmentation (I8)
|
100% |
2889
48.3 IPS |
|
Pose Estimation (F32)
|
100% |
58748
71.1 IPS |
|
Pose Estimation (F16)
|
100% |
87365
105.8 IPS |
|
Pose Estimation (I8)
|
100% |
84442
102.3 IPS |
|
Object Detection (F32)
|
100% |
5060
377.8 IPS |
|
Object Detection (F16)
|
100% |
5260
392.7 IPS |
|
Object Detection (I8)
|
97% |
5040
376.2 IPS |
|
Face Detection (F32)
|
100% |
23002
273.5 IPS |
|
Face Detection (F16)
|
98% |
25392
301.9 IPS |
|
Face Detection (I8)
|
97% |
24766
294.5 IPS |
|
Depth Estimation (F32)
|
100% |
35433
274.8 IPS |
|
Depth Estimation (F16)
|
100% |
37811
293.2 IPS |
|
Depth Estimation (I8)
|
37% |
37919
294.1 IPS |
|
Style Transfer (F32)
|
100% |
112811
148.4 IPS |
|
Style Transfer (F16)
|
100% |
116450
153.2 IPS |
|
Style Transfer (I8)
|
100% |
120810
158.9 IPS |
|
Image Super-Resolution (F32)
|
100% |
11875
424.1 IPS |
|
Image Super-Resolution (F16)
|
100% |
13139
469.2 IPS |
|
Image Super-Resolution (I8)
|
100% |
12726
454.5 IPS |
|
Text Classification (F32)
|
100% |
456
655.2 IPS |
|
Text Classification (F16)
|
100% |
564
810.8 IPS |
|
Text Classification (I8)
|
96% |
581
835.3 IPS |
|
Machine Translation (F32)
|
100% |
782
14.4 IPS |
|
Machine Translation (F16)
|
100% |
815
15.0 IPS |
|
Machine Translation (I8)
|
99% |
836
15.4 IPS |