Upload Date | August 24 2024 06:07 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 | 64.00 GB |
Inference Information | |
---|---|
Framework | Core ML |
Backend | GPU |
Device | Default |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
6919
1.29 KIPS |
|
Image Classification (F16)
|
100% |
7058
1.32 KIPS |
|
Image Classification (I8)
|
99% |
6664
1.25 KIPS |
|
Image Segmentation (F32)
|
100% |
3177
53.1 IPS |
|
Image Segmentation (F16)
|
100% |
3140
52.4 IPS |
|
Image Segmentation (I8)
|
100% |
3100
51.8 IPS |
|
Pose Estimation (F32)
|
100% |
84878
102.8 IPS |
|
Pose Estimation (F16)
|
100% |
87945
106.5 IPS |
|
Pose Estimation (I8)
|
100% |
84327
102.1 IPS |
|
Object Detection (F32)
|
100% |
5104
381.0 IPS |
|
Object Detection (F16)
|
100% |
5340
398.6 IPS |
|
Object Detection (I8)
|
97% |
5034
375.8 IPS |
|
Face Detection (F32)
|
100% |
24384
289.9 IPS |
|
Face Detection (F16)
|
98% |
26780
318.4 IPS |
|
Face Detection (I8)
|
97% |
25536
303.6 IPS |
|
Depth Estimation (F32)
|
100% |
36055
279.6 IPS |
|
Depth Estimation (F16)
|
100% |
38050
295.1 IPS |
|
Depth Estimation (I8)
|
37% |
37428
290.3 IPS |
|
Style Transfer (F32)
|
100% |
157830
207.6 IPS |
|
Style Transfer (F16)
|
100% |
177627
233.7 IPS |
|
Style Transfer (I8)
|
100% |
168465
221.6 IPS |
|
Image Super-Resolution (F32)
|
100% |
14157
505.6 IPS |
|
Image Super-Resolution (F16)
|
100% |
10086
360.2 IPS |
|
Image Super-Resolution (I8)
|
100% |
9716
347.0 IPS |
|
Text Classification (F32)
|
100% |
541
777.2 IPS |
|
Text Classification (F16)
|
100% |
838
1.21 KIPS |
|
Text Classification (I8)
|
96% |
838
1.20 KIPS |
|
Machine Translation (F32)
|
100% |
1134
20.9 IPS |
|
Machine Translation (F16)
|
100% |
1152
21.2 IPS |
|
Machine Translation (I8)
|
99% |
1065
19.6 IPS |