| User | deleavell |
| Upload Date | December 07 2024 05:33 AM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B2091) |
| 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 | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7671
1.43 KIPS |
|
|
Image Classification (HP)
|
100% |
7979
1.48 KIPS |
|
|
Image Classification (Q)
|
97% |
7078
1.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12057
195.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
13216
214.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
13319
215.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
56773
66.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
59051
68.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
55943
65.6 IPS |
|
|
Object Detection (SP)
|
100% |
7170
568.7 IPS |
|
|
Object Detection (HP)
|
100% |
7685
609.6 IPS |
|
|
Object Detection (Q)
|
91% |
6419
512.9 IPS |
|
|
Face Detection (SP)
|
100% |
26280
312.3 IPS |
|
|
Face Detection (HP)
|
100% |
28645
340.4 IPS |
|
|
Face Detection (Q)
|
100% |
20433
242.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
34062
262.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
35781
275.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
29237
228.5 IPS |
|
|
Style Transfer (SP)
|
100% |
123478
158.7 IPS |
|
|
Style Transfer (HP)
|
100% |
134897
173.4 IPS |
|
|
Style Transfer (Q)
|
96% |
127069
164.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23035
850.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24254
895.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19725
728.3 IPS |
|
|
Text Classification (SP)
|
100% |
2959
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5170
6.90 KIPS |
|
|
Text Classification (Q)
|
93% |
5172
6.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
2799
48.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2928
50.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2685
46.4 IPS |