| User | idanbo |
| Upload Date | March 16 2026 03:27 AM |
| Views | 12 |
| Notes | MacBook Pro (16-inch, M5 Pro, 2026)/M5 Pro 18Core CPU/20Core GPU/24GB/1TB SSD |
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M5 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| Model | Mac17,8 |
| Model ID | Mac17,8 |
| Motherboard | Mac17,8 |
| CPU Information | |
|---|---|
| Name | Apple M5 Pro |
| Topology | 1 Processor, 18 Cores |
| Identifier | Apple M5 Pro |
| Base Frequency | 4.61 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8853
1.65 KIPS |
|
|
Image Classification (HP)
|
100% |
12664
2.36 KIPS |
|
|
Image Classification (Q)
|
99% |
11766
2.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17985
291.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
28766
466.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
27425
444.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
71509
83.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
185698
216.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
212247
248.8 IPS |
|
|
Object Detection (SP)
|
100% |
8033
637.2 IPS |
|
|
Object Detection (HP)
|
100% |
14918
1.18 KIPS |
|
|
Object Detection (Q)
|
94% |
13807
1.10 KIPS |
|
|
Face Detection (SP)
|
100% |
32986
391.9 IPS |
|
|
Face Detection (HP)
|
100% |
55166
655.5 IPS |
|
|
Face Detection (Q)
|
100% |
49889
592.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
41588
320.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
73900
569.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
70317
549.0 IPS |
|
|
Style Transfer (SP)
|
100% |
152238
195.7 IPS |
|
|
Style Transfer (HP)
|
100% |
333724
429.0 IPS |
|
|
Style Transfer (Q)
|
96% |
394920
509.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26273
970.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43328
1.60 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35070
1.29 KIPS |
|
|
Text Classification (SP)
|
100% |
2951
3.94 KIPS |
|
|
Text Classification (HP)
|
99% |
5606
7.48 KIPS |
|
|
Text Classification (Q)
|
93% |
5489
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
7762
133.7 IPS |
|
|
Machine Translation (HP)
|
100% |
9034
155.6 IPS |
|
|
Machine Translation (Q)
|
98% |
8686
150.1 IPS |