| User | maxxx |
| Upload Date | April 13 2026 09:40 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E246) |
| Model | MacBook Pro (16-inch, 2024) |
| Model ID | Mac16,7 |
| Motherboard | Mac16,7 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7692
1.43 KIPS |
|
|
Image Classification (HP)
|
100% |
8100
1.51 KIPS |
|
|
Image Classification (Q)
|
96% |
7717
1.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14767
239.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
14858
240.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
14371
233.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
54257
63.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
59621
69.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
57410
67.2 IPS |
|
|
Object Detection (SP)
|
100% |
7054
559.6 IPS |
|
|
Object Detection (HP)
|
100% |
7382
585.6 IPS |
|
|
Object Detection (Q)
|
91% |
6684
534.2 IPS |
|
|
Face Detection (SP)
|
100% |
26806
318.5 IPS |
|
|
Face Detection (HP)
|
100% |
31828
378.2 IPS |
|
|
Face Detection (Q)
|
100% |
27653
328.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
32866
253.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
34486
265.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
32805
256.7 IPS |
|
|
Style Transfer (SP)
|
100% |
121907
156.7 IPS |
|
|
Style Transfer (HP)
|
100% |
134212
172.5 IPS |
|
|
Style Transfer (Q)
|
96% |
130636
168.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20606
760.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20827
769.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18371
678.3 IPS |
|
|
Text Classification (SP)
|
100% |
6107
8.15 KIPS |
|
|
Text Classification (HP)
|
99% |
10516
14.0 KIPS |
|
|
Text Classification (Q)
|
93% |
9238
12.4 KIPS |
|
|
Machine Translation (SP)
|
100% |
6729
115.9 IPS |
|
|
Machine Translation (HP)
|
100% |
7221
124.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7429
128.4 IPS |