| Upload Date | November 11 2025 07:10 AM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.7.2 (Build 24G325) |
| Model | MacBook Pro (16-inch, 2021) |
| Model ID | MacBookPro18,2 |
| Motherboard | MacBookPro18,2 |
| CPU Information | |
|---|---|
| Name | Apple M1 Max |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Max |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5136
955.2 IPS |
|
|
Image Classification (HP)
|
100% |
5150
957.8 IPS |
|
|
Image Classification (Q)
|
96% |
4786
893.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
11628
188.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
11946
193.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
11311
183.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
57089
66.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
62620
73.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
59285
69.4 IPS |
|
|
Object Detection (SP)
|
100% |
5208
413.1 IPS |
|
|
Object Detection (HP)
|
100% |
5317
421.7 IPS |
|
|
Object Detection (Q)
|
92% |
4986
398.0 IPS |
|
|
Face Detection (SP)
|
100% |
21252
252.5 IPS |
|
|
Face Detection (HP)
|
100% |
22066
262.2 IPS |
|
|
Face Detection (Q)
|
100% |
19556
232.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
26672
205.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
27842
214.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
25878
202.1 IPS |
|
|
Style Transfer (SP)
|
100% |
96568
124.1 IPS |
|
|
Style Transfer (HP)
|
100% |
121325
156.0 IPS |
|
|
Style Transfer (Q)
|
96% |
119188
153.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16940
625.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17959
663.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15712
580.2 IPS |
|
|
Text Classification (SP)
|
100% |
2256
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
4010
5.35 KIPS |
|
|
Text Classification (Q)
|
93% |
4084
5.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
1562
26.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1550
26.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1819
31.4 IPS |