| Upload Date | March 17 2026 04:10 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| Model | MacBook Pro (14-inch, 2024) |
| Model ID | Mac16,6 |
| Motherboard | Mac16,6 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9426
1.75 KIPS |
|
|
Image Classification (HP)
|
100% |
9803
1.82 KIPS |
|
|
Image Classification (Q)
|
96% |
9097
1.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20263
328.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
21077
341.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
20539
332.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
77426
90.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
87717
102.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
84404
98.9 IPS |
|
|
Object Detection (SP)
|
100% |
8575
680.2 IPS |
|
|
Object Detection (HP)
|
100% |
9368
743.0 IPS |
|
|
Object Detection (Q)
|
91% |
8387
670.3 IPS |
|
|
Face Detection (SP)
|
100% |
35936
427.0 IPS |
|
|
Face Detection (HP)
|
100% |
40174
477.3 IPS |
|
|
Face Detection (Q)
|
100% |
37577
446.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
42230
325.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
44270
341.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
41558
325.2 IPS |
|
|
Style Transfer (SP)
|
100% |
182704
234.9 IPS |
|
|
Style Transfer (HP)
|
100% |
200455
257.7 IPS |
|
|
Style Transfer (Q)
|
96% |
195877
252.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25213
931.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26248
969.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23475
866.8 IPS |
|
|
Text Classification (SP)
|
100% |
3266
4.36 KIPS |
|
|
Text Classification (HP)
|
99% |
5595
7.47 KIPS |
|
|
Text Classification (Q)
|
93% |
5610
7.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
7629
131.4 IPS |
|
|
Machine Translation (HP)
|
100% |
8250
142.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7351
127.0 IPS |