| User | Moklonus |
| Upload Date | May 16 2025 09:53 PM |
| Views | 11 |
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| Model | MacBook Pro (14-inch, 2024) |
| Model ID | Mac16,8 |
| Motherboard | Mac16,8 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6992
1.30 KIPS |
|
|
Image Classification (HP)
|
100% |
7521
1.40 KIPS |
|
|
Image Classification (Q)
|
96% |
6763
1.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12319
199.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
12739
206.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
12082
195.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
45996
53.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
47375
55.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
46598
54.6 IPS |
|
|
Object Detection (SP)
|
100% |
6391
507.0 IPS |
|
|
Object Detection (HP)
|
100% |
7084
561.9 IPS |
|
|
Object Detection (Q)
|
92% |
6402
511.0 IPS |
|
|
Face Detection (SP)
|
100% |
23763
282.4 IPS |
|
|
Face Detection (HP)
|
100% |
24345
289.3 IPS |
|
|
Face Detection (Q)
|
100% |
21341
253.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
30613
235.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
31459
242.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
28815
225.1 IPS |
|
|
Style Transfer (SP)
|
100% |
104758
134.7 IPS |
|
|
Style Transfer (HP)
|
100% |
110083
141.5 IPS |
|
|
Style Transfer (Q)
|
96% |
108497
140.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16342
603.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16714
617.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14931
551.3 IPS |
|
|
Text Classification (SP)
|
100% |
2883
3.85 KIPS |
|
|
Text Classification (HP)
|
100% |
5122
6.84 KIPS |
|
|
Text Classification (Q)
|
93% |
5087
6.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
5552
95.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5996
103.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5966
103.1 IPS |