User | GabrielCavalcanti__ |
Upload Date | January 24 2025 04:31 AM |
Views | 7 |
AI Information | |
---|---|
Framework | Core ML |
Backend | Neural Engine |
Device | Apple M4 Pro |
System Information | |
---|---|
Operating System | macOS 15.2 (Build 24C101) |
Model | Mac16,8 |
Model ID | Mac16,8 |
Motherboard | Mac16,8 |
CPU Information | |
---|---|
Name | Apple M4 Pro |
Topology | 1 Processor, 12 Cores |
Identifier | Apple M4 Pro |
Base Frequency | 4.51 GHz |
Cluster 1 | 8 Cores |
Cluster 2 | 4 Cores |
Memory Information | |
---|---|
Size | 24.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
2088
388.4 IPS |
|
Image Classification (HP)
|
100% |
17661
3.28 KIPS |
|
Image Classification (Q)
|
99% |
18976
3.54 KIPS |
|
Image Segmentation (SP)
|
100% |
2608
42.3 IPS |
|
Image Segmentation (HP)
|
100% |
17929
290.6 IPS |
|
Image Segmentation (Q)
|
100% |
17928
290.6 IPS |
|
Pose Estimation (SP)
|
100% |
18889
22.0 IPS |
|
Pose Estimation (HP)
|
100% |
118533
138.3 IPS |
|
Pose Estimation (Q)
|
94% |
223334
262.0 IPS |
|
Object Detection (SP)
|
100% |
2469
195.8 IPS |
|
Object Detection (HP)
|
100% |
18153
1.44 KIPS |
|
Object Detection (Q)
|
91% |
23770
1.90 KIPS |
|
Face Detection (SP)
|
100% |
4574
54.3 IPS |
|
Face Detection (HP)
|
100% |
28290
336.1 IPS |
|
Face Detection (Q)
|
100% |
47597
565.6 IPS |
|
Depth Estimation (SP)
|
100% |
8769
67.6 IPS |
|
Depth Estimation (HP)
|
99% |
90520
697.4 IPS |
|
Depth Estimation (Q)
|
97% |
96518
746.3 IPS |
|
Style Transfer (SP)
|
100% |
35634
45.8 IPS |
|
Style Transfer (HP)
|
100% |
170295
218.9 IPS |
|
Style Transfer (Q)
|
100% |
170039
218.6 IPS |
|
Image Super-Resolution (SP)
|
100% |
7112
262.6 IPS |
|
Image Super-Resolution (HP)
|
100% |
46794
1.73 KIPS |
|
Image Super-Resolution (Q)
|
98% |
78847
2.92 KIPS |
|
Text Classification (SP)
|
100% |
2944
3.93 KIPS |
|
Text Classification (HP)
|
100% |
5674
7.57 KIPS |
|
Text Classification (Q)
|
93% |
5844
7.84 KIPS |
|
Machine Translation (SP)
|
100% |
5864
101.0 IPS |
|
Machine Translation (HP)
|
100% |
16808
289.5 IPS |
|
Machine Translation (Q)
|
98% |
16722
289.0 IPS |