| User | ptmeza |
| Upload Date | April 05 2026 08:08 PM |
| Views | 10 |
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.5 (Build 25F5042g) |
| Model | MacBook Air (13-inch, 2025) |
| Model ID | Mac16,12 |
| Motherboard | Mac16,12 |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M4 |
| Base Frequency | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4718
877.4 IPS |
|
|
Image Classification (HP)
|
100% |
4943
919.2 IPS |
|
|
Image Classification (Q)
|
96% |
4761
889.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
6937
112.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
7942
128.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
7653
124.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
27098
31.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
30999
36.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
30138
35.3 IPS |
|
|
Object Detection (SP)
|
100% |
4624
366.8 IPS |
|
|
Object Detection (HP)
|
100% |
5302
420.5 IPS |
|
|
Object Detection (Q)
|
91% |
5124
409.5 IPS |
|
|
Face Detection (SP)
|
100% |
12776
151.8 IPS |
|
|
Face Detection (HP)
|
100% |
17258
205.1 IPS |
|
|
Face Detection (Q)
|
100% |
16300
193.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
20244
156.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
22523
173.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
21053
164.7 IPS |
|
|
Style Transfer (SP)
|
100% |
55640
71.5 IPS |
|
|
Style Transfer (HP)
|
100% |
67288
86.5 IPS |
|
|
Style Transfer (Q)
|
96% |
64812
83.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11316
417.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11632
429.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10338
381.7 IPS |
|
|
Text Classification (SP)
|
100% |
6313
8.43 KIPS |
|
|
Text Classification (HP)
|
100% |
9799
13.1 KIPS |
|
|
Text Classification (Q)
|
92% |
9638
12.9 KIPS |
|
|
Machine Translation (SP)
|
100% |
4643
80.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4193
72.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1747
30.2 IPS |