| User | dylanschell |
| Upload Date | November 15 2025 03:18 PM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| Model | Mac mini (2024) |
| Model ID | Mac16,11 |
| Motherboard | Mac16,11 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 3.83 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7002
1.30 KIPS |
|
|
Image Classification (HP)
|
100% |
7355
1.37 KIPS |
|
|
Image Classification (Q)
|
96% |
7564
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12881
208.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
14605
236.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
13016
211.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
46605
54.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
54385
63.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
52511
61.5 IPS |
|
|
Object Detection (SP)
|
100% |
6629
525.8 IPS |
|
|
Object Detection (HP)
|
100% |
6847
543.1 IPS |
|
|
Object Detection (Q)
|
92% |
6269
500.4 IPS |
|
|
Face Detection (SP)
|
100% |
25361
301.3 IPS |
|
|
Face Detection (HP)
|
100% |
26007
309.0 IPS |
|
|
Face Detection (Q)
|
100% |
20389
242.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
29271
225.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
33417
257.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
32265
252.0 IPS |
|
|
Style Transfer (SP)
|
100% |
106655
137.1 IPS |
|
|
Style Transfer (HP)
|
100% |
123016
158.1 IPS |
|
|
Style Transfer (Q)
|
96% |
117867
152.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19826
732.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20025
739.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16599
612.9 IPS |
|
|
Text Classification (SP)
|
100% |
2810
3.75 KIPS |
|
|
Text Classification (HP)
|
99% |
4893
6.53 KIPS |
|
|
Text Classification (Q)
|
93% |
4918
6.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
4552
78.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4944
85.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4945
85.5 IPS |