| Upload Date | October 23 2025 04:29 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B5072a) |
| Model | MacBook Pro (14-inch, 2024) |
| Model ID | Mac16,6 |
| Motherboard | Mac16,6 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8828
1.64 KIPS |
|
|
Image Classification (HP)
|
100% |
9406
1.75 KIPS |
|
|
Image Classification (Q)
|
96% |
8907
1.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19685
319.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
20493
332.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
20320
329.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
77068
89.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
87453
102.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
84336
98.8 IPS |
|
|
Object Detection (SP)
|
100% |
8827
700.2 IPS |
|
|
Object Detection (HP)
|
100% |
9343
741.1 IPS |
|
|
Object Detection (Q)
|
92% |
8719
696.0 IPS |
|
|
Face Detection (SP)
|
100% |
34895
414.6 IPS |
|
|
Face Detection (HP)
|
100% |
38159
453.4 IPS |
|
|
Face Detection (Q)
|
100% |
31603
375.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
42251
325.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
44490
342.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
39775
310.7 IPS |
|
|
Style Transfer (SP)
|
100% |
181824
233.7 IPS |
|
|
Style Transfer (HP)
|
100% |
197507
253.9 IPS |
|
|
Style Transfer (Q)
|
96% |
196052
253.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25040
924.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25697
948.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22319
824.1 IPS |
|
|
Text Classification (SP)
|
100% |
3151
4.21 KIPS |
|
|
Text Classification (HP)
|
99% |
5390
7.19 KIPS |
|
|
Text Classification (Q)
|
93% |
5386
7.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
4366
75.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4648
80.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4087
70.6 IPS |