| User | k9fgt |
| Upload Date | January 15 2025 04:42 AM |
| Views | 18 |
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | MacBook Pro (14-inch, 2024) |
| Model ID | Mac16,8 |
| Motherboard | Mac16,8 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2081
387.0 IPS |
|
|
Image Classification (HP)
|
100% |
17536
3.26 KIPS |
|
|
Image Classification (Q)
|
97% |
22179
4.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2577
41.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
23249
376.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
32144
521.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
18982
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
123251
143.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
231077
270.8 IPS |
|
|
Object Detection (SP)
|
100% |
2486
197.2 IPS |
|
|
Object Detection (HP)
|
100% |
19727
1.56 KIPS |
|
|
Object Detection (Q)
|
91% |
23583
1.88 KIPS |
|
|
Face Detection (SP)
|
100% |
4613
54.8 IPS |
|
|
Face Detection (HP)
|
100% |
44462
528.3 IPS |
|
|
Face Detection (Q)
|
100% |
54441
646.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8806
67.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
111917
862.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
177215
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
35321
45.4 IPS |
|
|
Style Transfer (HP)
|
100% |
237459
305.3 IPS |
|
|
Style Transfer (Q)
|
96% |
304517
393.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7036
259.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46161
1.70 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77831
2.87 KIPS |
|
|
Text Classification (SP)
|
100% |
2920
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5023
6.70 KIPS |
|
|
Text Classification (Q)
|
93% |
4836
6.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
5761
99.2 IPS |
|
|
Machine Translation (HP)
|
100% |
16237
279.7 IPS |
|
|
Machine Translation (Q)
|
98% |
16660
287.9 IPS |