| Upload Date | November 09 2025 02:23 AM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.6 (Build 24G84) |
| Model | MacBook Pro (14-inch, 2021) |
| Model ID | MacBookPro18,4 |
| Motherboard | MacBookPro18,4 |
| 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% |
1333
247.9 IPS |
|
|
Image Classification (HP)
|
100% |
6862
1.28 KIPS |
|
|
Image Classification (Q)
|
96% |
6555
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1541
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9672
156.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10332
167.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11225
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
71484
83.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
66801
78.3 IPS |
|
|
Object Detection (SP)
|
100% |
1542
122.3 IPS |
|
|
Object Detection (HP)
|
99% |
7908
629.1 IPS |
|
|
Object Detection (Q)
|
91% |
7383
589.9 IPS |
|
|
Face Detection (SP)
|
100% |
3236
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
15826
188.0 IPS |
|
|
Face Detection (Q)
|
100% |
14681
174.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5773
44.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
51511
396.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
53454
417.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21925
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
121283
155.9 IPS |
|
|
Style Transfer (Q)
|
96% |
116860
150.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4326
159.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25788
952.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27857
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2289
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3997
5.33 KIPS |
|
|
Text Classification (Q)
|
93% |
3962
5.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3130
53.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3641
62.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3684
63.7 IPS |