| User | MyfirstMac58 | 
| Upload Date | April 08 2025 01:38 PM | 
| Views | 6 | 
| AI Information | |
|---|---|
| Framework | Core ML | 
| Backend | GPU | 
| Device | Apple M4 Max | 
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) | 
| Model | Mac16,9 | 
| Model ID | Mac16,9 | 
| Motherboard | Mac16,9 | 
| CPU Information | |
|---|---|
| Name | Apple M4 Max | 
| Topology | 1 Processor, 14 Cores | 
| Identifier | Apple M4 Max | 
| Base Frequency | 4.50 GHz | 
| Cluster 1 | 10 Cores | 
| Cluster 2 | 4 Cores | 
| Memory Information | |
|---|---|
| Size | 36.00 GB | 
| Workload | Accuracy | Score | |
|---|---|---|---|
| 
Image Classification (SP)
 | 
100% | 
9398
 1.75 KIPS  | 
|
| 
Image Classification (HP)
 | 
100% | 
9633
 1.79 KIPS  | 
|
| 
Image Classification (Q)
 | 
96% | 
9059
 1.69 KIPS  | 
|
| 
Image Segmentation (SP)
 | 
100% | 
19869
 322.1 IPS  | 
|
| 
Image Segmentation (HP)
 | 
100% | 
20935
 339.4 IPS  | 
|
| 
Image Segmentation (Q)
 | 
99% | 
19680
 319.0 IPS  | 
|
| 
Pose Estimation (SP)
 | 
100% | 
79499
 92.8 IPS  | 
|
| 
Pose Estimation (HP)
 | 
100% | 
82781
 96.6 IPS  | 
|
| 
Pose Estimation (Q)
 | 
96% | 
80561
 94.4 IPS  | 
|
| 
Object Detection (SP)
 | 
100% | 
8322
 660.1 IPS  | 
|
| 
Object Detection (HP)
 | 
100% | 
9286
 736.6 IPS  | 
|
| 
Object Detection (Q)
 | 
92% | 
8597
 686.2 IPS  | 
|
| 
Face Detection (SP)
 | 
100% | 
33866
 402.4 IPS  | 
|
| 
Face Detection (HP)
 | 
100% | 
36625
 435.2 IPS  | 
|
| 
Face Detection (Q)
 | 
100% | 
32047
 380.8 IPS  | 
|
| 
Depth Estimation (SP)
 | 
100% | 
41876
 322.6 IPS  | 
|
| 
Depth Estimation (HP)
 | 
99% | 
44692
 344.3 IPS  | 
|
| 
Depth Estimation (Q)
 | 
85% | 
40432
 316.2 IPS  | 
|
| 
Style Transfer (SP)
 | 
100% | 
185174
 238.0 IPS  | 
|
| 
Style Transfer (HP)
 | 
100% | 
202690
 260.6 IPS  | 
|
| 
Style Transfer (Q)
 | 
96% | 
196576
 253.7 IPS  | 
|
| 
Image Super-Resolution (SP)
 | 
100% | 
26361
 973.4 IPS  | 
|
| 
Image Super-Resolution (HP)
 | 
100% | 
27450
 1.01 KIPS  | 
|
| 
Image Super-Resolution (Q)
 | 
99% | 
24090
 889.5 IPS  | 
|
| 
Text Classification (SP)
 | 
100% | 
2921
 3.90 KIPS  | 
|
| 
Text Classification (HP)
 | 
100% | 
5340
 7.13 KIPS  | 
|
| 
Text Classification (Q)
 | 
93% | 
5310
 7.13 KIPS  | 
|
| 
Machine Translation (SP)
 | 
100% | 
6008
 103.5 IPS  | 
|
| 
Machine Translation (HP)
 | 
100% | 
6402
 110.3 IPS  | 
|
| 
Machine Translation (Q)
 | 
98% | 
6382
 110.3 IPS  |