User | Sil3ntVip3r |
Upload Date | January 08 2025 12:05 AM |
Views | 3 |
AI Information | |
---|---|
Framework | Core ML |
Backend | Neural Engine |
Device | Apple M4 Pro |
System Information | |
---|---|
Operating System | macOS 15.3 (Build 24D5034f) |
Model | MacBook Pro (16-inch, 2024) |
Model ID | Mac16,7 |
Motherboard | Mac16,7 |
CPU Information | |
---|---|
Name | Apple M4 Pro |
Topology | 1 Processor, 14 Cores |
Identifier | Apple M4 Pro |
Base Frequency | 4.50 GHz |
Cluster 1 | 10 Cores |
Cluster 2 | 4 Cores |
Memory Information | |
---|---|
Size | 24.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
2054
382.0 IPS |
|
Image Classification (HP)
|
100% |
17640
3.28 KIPS |
|
Image Classification (Q)
|
97% |
22421
4.18 KIPS |
|
Image Segmentation (SP)
|
100% |
2420
39.2 IPS |
|
Image Segmentation (HP)
|
100% |
23716
384.5 IPS |
|
Image Segmentation (Q)
|
99% |
32822
532.1 IPS |
|
Pose Estimation (SP)
|
100% |
18794
21.9 IPS |
|
Pose Estimation (HP)
|
100% |
123127
143.7 IPS |
|
Pose Estimation (Q)
|
95% |
233224
273.4 IPS |
|
Object Detection (SP)
|
100% |
2439
193.5 IPS |
|
Object Detection (HP)
|
100% |
21082
1.67 KIPS |
|
Object Detection (Q)
|
91% |
25605
2.05 KIPS |
|
Face Detection (SP)
|
100% |
4512
53.6 IPS |
|
Face Detection (HP)
|
100% |
41739
495.9 IPS |
|
Face Detection (Q)
|
100% |
62559
743.3 IPS |
|
Depth Estimation (SP)
|
100% |
8762
67.5 IPS |
|
Depth Estimation (HP)
|
99% |
111324
857.7 IPS |
|
Depth Estimation (Q)
|
85% |
178500
1.40 KIPS |
|
Style Transfer (SP)
|
100% |
35265
45.3 IPS |
|
Style Transfer (HP)
|
100% |
238240
306.3 IPS |
|
Style Transfer (Q)
|
96% |
304303
392.7 IPS |
|
Image Super-Resolution (SP)
|
100% |
6975
257.6 IPS |
|
Image Super-Resolution (HP)
|
100% |
47310
1.75 KIPS |
|
Image Super-Resolution (Q)
|
99% |
78767
2.91 KIPS |
|
Text Classification (SP)
|
100% |
2904
3.88 KIPS |
|
Text Classification (HP)
|
100% |
4872
6.50 KIPS |
|
Text Classification (Q)
|
93% |
5526
7.42 KIPS |
|
Machine Translation (SP)
|
100% |
5667
97.6 IPS |
|
Machine Translation (HP)
|
100% |
16767
288.8 IPS |
|
Machine Translation (Q)
|
98% |
16884
291.8 IPS |