| User | nvsnvs32 |
| Upload Date | March 24 2026 08:53 PM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E246) |
| Model | MacBook Pro (14-inch, 2024) |
| 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% |
7181
1.34 KIPS |
|
|
Image Classification (HP)
|
100% |
7628
1.42 KIPS |
|
|
Image Classification (Q)
|
96% |
7451
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12436
201.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
12770
207.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
12373
200.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
44346
51.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
49453
57.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
47586
55.7 IPS |
|
|
Object Detection (SP)
|
100% |
6533
518.2 IPS |
|
|
Object Detection (HP)
|
100% |
6785
538.2 IPS |
|
|
Object Detection (Q)
|
91% |
6867
548.8 IPS |
|
|
Face Detection (SP)
|
100% |
25730
305.7 IPS |
|
|
Face Detection (HP)
|
100% |
27479
326.5 IPS |
|
|
Face Detection (Q)
|
100% |
25257
300.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
31243
240.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
31939
246.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
29782
233.0 IPS |
|
|
Style Transfer (SP)
|
100% |
102982
132.4 IPS |
|
|
Style Transfer (HP)
|
100% |
115166
148.0 IPS |
|
|
Style Transfer (Q)
|
96% |
109985
141.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17351
640.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18420
680.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15054
555.9 IPS |
|
|
Text Classification (SP)
|
100% |
6240
8.33 KIPS |
|
|
Text Classification (HP)
|
99% |
9761
13.0 KIPS |
|
|
Text Classification (Q)
|
92% |
9460
12.7 KIPS |
|
|
Machine Translation (SP)
|
100% |
7331
126.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7921
136.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6920
119.6 IPS |