| Upload Date | November 25 2025 05:46 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.6 (Build 24G84) |
| Model | MacBook Pro (16-inch, 2024) |
| Model ID | Mac16,5 |
| Motherboard | Mac16,5 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10425
1.94 KIPS |
|
|
Image Classification (HP)
|
100% |
10150
1.89 KIPS |
|
|
Image Classification (Q)
|
96% |
9351
1.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23542
381.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
24373
395.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
22652
367.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
106139
123.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
108022
126.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
104488
122.4 IPS |
|
|
Object Detection (SP)
|
100% |
8637
685.1 IPS |
|
|
Object Detection (HP)
|
100% |
10139
804.2 IPS |
|
|
Object Detection (Q)
|
92% |
9644
769.8 IPS |
|
|
Face Detection (SP)
|
100% |
39278
466.7 IPS |
|
|
Face Detection (HP)
|
100% |
42133
500.6 IPS |
|
|
Face Detection (Q)
|
100% |
35378
420.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
44354
341.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
46308
356.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
43291
338.1 IPS |
|
|
Style Transfer (SP)
|
100% |
219544
282.2 IPS |
|
|
Style Transfer (HP)
|
100% |
231621
297.8 IPS |
|
|
Style Transfer (Q)
|
96% |
229382
296.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30452
1.12 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
30681
1.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26577
981.4 IPS |
|
|
Text Classification (SP)
|
100% |
2951
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5361
7.16 KIPS |
|
|
Text Classification (Q)
|
93% |
5335
7.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
6296
108.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6492
111.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6463
111.7 IPS |