| User | deutros | 
| Upload Date | August 18 2025 03:46 AM | 
| Views | 7 | 
| AI Information | |
|---|---|
| Framework | Core ML | 
| Backend | GPU | 
| Device | Apple M4 Pro | 
| System Information | |
|---|---|
| Operating System | macOS 15.6 (Build 24G84) | 
| Model | Mac mini (2024) | 
| Model ID | Mac16,11 | 
| Motherboard | Mac16,11 | 
| 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% | 
7037
 1.31 KIPS  | 
|
| 
Image Classification (HP)
 | 
100% | 
7304
 1.36 KIPS  | 
|
| 
Image Classification (Q)
 | 
96% | 
6852
 1.28 KIPS  | 
|
| 
Image Segmentation (SP)
 | 
100% | 
12244
 198.5 IPS  | 
|
| 
Image Segmentation (HP)
 | 
100% | 
12254
 198.6 IPS  | 
|
| 
Image Segmentation (Q)
 | 
99% | 
12079
 195.8 IPS  | 
|
| 
Pose Estimation (SP)
 | 
100% | 
45966
 53.6 IPS  | 
|
| 
Pose Estimation (HP)
 | 
100% | 
47287
 55.2 IPS  | 
|
| 
Pose Estimation (Q)
 | 
96% | 
46529
 54.5 IPS  | 
|
| 
Object Detection (SP)
 | 
100% | 
6584
 522.3 IPS  | 
|
| 
Object Detection (HP)
 | 
100% | 
7062
 560.2 IPS  | 
|
| 
Object Detection (Q)
 | 
92% | 
6370
 508.5 IPS  | 
|
| 
Face Detection (SP)
 | 
100% | 
24339
 289.2 IPS  | 
|
| 
Face Detection (HP)
 | 
100% | 
25489
 302.9 IPS  | 
|
| 
Face Detection (Q)
 | 
100% | 
21189
 251.8 IPS  | 
|
| 
Depth Estimation (SP)
 | 
100% | 
31386
 241.8 IPS  | 
|
| 
Depth Estimation (HP)
 | 
99% | 
31688
 244.1 IPS  | 
|
| 
Depth Estimation (Q)
 | 
86% | 
28858
 225.4 IPS  | 
|
| 
Style Transfer (SP)
 | 
100% | 
106552
 137.0 IPS  | 
|
| 
Style Transfer (HP)
 | 
100% | 
110088
 141.5 IPS  | 
|
| 
Style Transfer (Q)
 | 
96% | 
108484
 140.0 IPS  | 
|
| 
Image Super-Resolution (SP)
 | 
100% | 
18519
 683.8 IPS  | 
|
| 
Image Super-Resolution (HP)
 | 
100% | 
16732
 617.8 IPS  | 
|
| 
Image Super-Resolution (Q)
 | 
99% | 
15269
 563.8 IPS  | 
|
| 
Text Classification (SP)
 | 
100% | 
2881
 3.85 KIPS  | 
|
| 
Text Classification (HP)
 | 
100% | 
5240
 6.99 KIPS  | 
|
| 
Text Classification (Q)
 | 
93% | 
5148
 6.91 KIPS  | 
|
| 
Machine Translation (SP)
 | 
100% | 
2385
 41.1 IPS  | 
|
| 
Machine Translation (HP)
 | 
100% | 
2975
 51.2 IPS  | 
|
| 
Machine Translation (Q)
 | 
98% | 
1868
 32.3 IPS  |