User | richh- |
Upload Date | February 05 2025 12:24 AM |
Views | 5 |
AI Information | |
---|---|
Framework | Core ML |
Backend | CPU |
Device | Apple M2 Max |
System Information | |
---|---|
Operating System | macOS 15.3 (Build 24D60) |
Model | MacBook Pro (16-inch, 2023) |
Model ID | Mac14,6 |
Motherboard | Mac14,6 |
CPU Information | |
---|---|
Name | Apple M2 Max |
Topology | 1 Processor, 12 Cores |
Identifier | Apple M2 Max |
Base Frequency | 3.31 GHz |
Cluster 1 | 8 Cores |
Cluster 2 | 4 Cores |
Memory Information | |
---|---|
Size | 96.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
1388
258.0 IPS |
|
Image Classification (HP)
|
100% |
2221
413.1 IPS |
|
Image Classification (Q)
|
96% |
1593
297.4 IPS |
|
Image Segmentation (SP)
|
100% |
1730
28.0 IPS |
|
Image Segmentation (HP)
|
100% |
2598
42.1 IPS |
|
Image Segmentation (Q)
|
99% |
2852
46.2 IPS |
|
Pose Estimation (SP)
|
100% |
12402
14.5 IPS |
|
Pose Estimation (HP)
|
100% |
25184
29.4 IPS |
|
Pose Estimation (Q)
|
95% |
19340
22.7 IPS |
|
Object Detection (SP)
|
100% |
1672
132.6 IPS |
|
Object Detection (HP)
|
97% |
2771
220.6 IPS |
|
Object Detection (Q)
|
94% |
1956
155.9 IPS |
|
Face Detection (SP)
|
100% |
3580
42.5 IPS |
|
Face Detection (HP)
|
100% |
5550
65.9 IPS |
|
Face Detection (Q)
|
100% |
3273
38.9 IPS |
|
Depth Estimation (SP)
|
100% |
6053
46.6 IPS |
|
Depth Estimation (HP)
|
98% |
11454
88.5 IPS |
|
Depth Estimation (Q)
|
85% |
7726
60.4 IPS |
|
Style Transfer (SP)
|
100% |
24660
31.7 IPS |
|
Style Transfer (HP)
|
100% |
37905
48.7 IPS |
|
Style Transfer (Q)
|
96% |
29285
37.8 IPS |
|
Image Super-Resolution (SP)
|
100% |
4918
181.6 IPS |
|
Image Super-Resolution (HP)
|
100% |
6962
257.1 IPS |
|
Image Super-Resolution (Q)
|
99% |
4352
160.7 IPS |
|
Text Classification (SP)
|
100% |
2284
3.05 KIPS |
|
Text Classification (HP)
|
100% |
3752
5.01 KIPS |
|
Text Classification (Q)
|
93% |
3854
5.17 KIPS |
|
Machine Translation (SP)
|
100% |
4246
73.1 IPS |
|
Machine Translation (HP)
|
98% |
6358
109.9 IPS |
|
Machine Translation (Q)
|
98% |
6310
109.0 IPS |