| User | dengduck |
| Upload Date | May 07 2025 01:08 PM |
| Views | 12 |
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| Model | MacBook Pro (14-inch, 2024) |
| Model ID | Mac16,8 |
| Motherboard | Mac16,8 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7823
1.45 KIPS |
|
|
Image Classification (HP)
|
100% |
8106
1.51 KIPS |
|
|
Image Classification (Q)
|
96% |
7457
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14479
234.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
15279
247.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
14160
229.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
56314
65.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
58778
68.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
57200
67.0 IPS |
|
|
Object Detection (SP)
|
100% |
6808
540.0 IPS |
|
|
Object Detection (HP)
|
100% |
7714
611.9 IPS |
|
|
Object Detection (Q)
|
92% |
7019
560.2 IPS |
|
|
Face Detection (SP)
|
100% |
25829
306.9 IPS |
|
|
Face Detection (HP)
|
100% |
28741
341.5 IPS |
|
|
Face Detection (Q)
|
100% |
24791
294.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
32961
253.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
35511
273.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
32580
254.7 IPS |
|
|
Style Transfer (SP)
|
100% |
124073
159.5 IPS |
|
|
Style Transfer (HP)
|
100% |
134573
173.0 IPS |
|
|
Style Transfer (Q)
|
96% |
131959
170.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22966
848.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24458
903.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21712
801.7 IPS |
|
|
Text Classification (SP)
|
100% |
2884
3.85 KIPS |
|
|
Text Classification (HP)
|
100% |
5257
7.02 KIPS |
|
|
Text Classification (Q)
|
93% |
5126
6.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
5646
97.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6065
104.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6067
104.8 IPS |