| User | tboneuk1691 |
| Upload Date | August 15 2024 08:15 PM |
| Views | 12 |
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5024e) |
| Model | MacBook Pro (16-inch, 2021) |
| Model ID | MacBookPro18,1 |
| Motherboard | MacBookPro18,1 |
| CPU Information | |
|---|---|
| Name | Apple M1 Pro |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Pro |
| Base Frequency | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3984
740.9 IPS |
|
|
Image Classification (HP)
|
100% |
3954
735.3 IPS |
|
|
Image Classification (Q)
|
99% |
3499
652.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
6279
101.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
6432
104.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
6259
101.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
32837
38.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
34844
40.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
31012
36.3 IPS |
|
|
Object Detection (SP)
|
100% |
3856
305.8 IPS |
|
|
Object Detection (HP)
|
100% |
4066
322.5 IPS |
|
|
Object Detection (Q)
|
91% |
3133
250.3 IPS |
|
|
Face Detection (SP)
|
100% |
13724
163.1 IPS |
|
|
Face Detection (HP)
|
100% |
14412
171.2 IPS |
|
|
Face Detection (Q)
|
100% |
10102
120.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
19558
150.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
20585
158.6 IPS |
|
|
Depth Estimation (Q)
|
97% |
3723
28.8 IPS |
|
|
Style Transfer (SP)
|
100% |
53685
69.0 IPS |
|
|
Style Transfer (HP)
|
100% |
63520
81.7 IPS |
|
|
Style Transfer (Q)
|
100% |
62686
80.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10580
390.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11185
413.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
8224
304.7 IPS |
|
|
Text Classification (SP)
|
100% |
2212
2.95 KIPS |
|
|
Text Classification (HP)
|
100% |
3668
4.90 KIPS |
|
|
Text Classification (Q)
|
93% |
3634
4.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
1082
18.6 IPS |
|
|
Machine Translation (HP)
|
100% |
956
16.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1443
24.9 IPS |