| User | eva2000 |
| Upload Date | December 08 2024 04:59 AM |
| Views | 10 |
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B2091) |
| Model | MacBook Pro (14-inch, 2024) |
| Model ID | Mac16,8 |
| Motherboard | Mac16,8 |
| 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 | 48.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7810
1.45 KIPS |
|
|
Image Classification (HP)
|
100% |
8405
1.56 KIPS |
|
|
Image Classification (Q)
|
97% |
6997
1.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12212
198.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
13022
211.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
13297
215.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
56750
66.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
59091
68.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
55876
65.5 IPS |
|
|
Object Detection (SP)
|
100% |
7255
575.5 IPS |
|
|
Object Detection (HP)
|
100% |
7598
602.7 IPS |
|
|
Object Detection (Q)
|
91% |
6409
512.1 IPS |
|
|
Face Detection (SP)
|
100% |
25766
306.2 IPS |
|
|
Face Detection (HP)
|
100% |
27651
328.6 IPS |
|
|
Face Detection (Q)
|
100% |
20538
244.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
33297
256.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
35850
276.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
29278
228.8 IPS |
|
|
Style Transfer (SP)
|
100% |
123815
159.2 IPS |
|
|
Style Transfer (HP)
|
100% |
134483
172.9 IPS |
|
|
Style Transfer (Q)
|
96% |
127787
164.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22882
844.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24015
886.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19172
707.9 IPS |
|
|
Text Classification (SP)
|
100% |
2936
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5168
6.90 KIPS |
|
|
Text Classification (Q)
|
93% |
5152
6.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
2411
41.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2373
40.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2040
35.3 IPS |