| User | maxxx |
| Upload Date | January 29 2025 05:02 PM |
| Views | 10 |
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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% |
1288
239.6 IPS |
|
|
Image Classification (HP)
|
100% |
1979
368.0 IPS |
|
|
Image Classification (Q)
|
96% |
1453
271.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1498
24.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2232
36.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2675
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10404
12.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
20571
24.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
16253
19.0 IPS |
|
|
Object Detection (SP)
|
100% |
1495
118.6 IPS |
|
|
Object Detection (HP)
|
97% |
2268
180.5 IPS |
|
|
Object Detection (Q)
|
94% |
1681
134.0 IPS |
|
|
Face Detection (SP)
|
100% |
2895
34.4 IPS |
|
|
Face Detection (HP)
|
100% |
5175
61.5 IPS |
|
|
Face Detection (Q)
|
100% |
2856
33.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5529
42.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10488
81.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7072
55.3 IPS |
|
|
Style Transfer (SP)
|
100% |
20844
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
33189
42.7 IPS |
|
|
Style Transfer (Q)
|
96% |
25314
32.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4176
154.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5992
221.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3906
144.2 IPS |
|
|
Text Classification (SP)
|
100% |
2277
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3915
5.23 KIPS |
|
|
Text Classification (Q)
|
93% |
3961
5.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3054
52.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3290
56.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4506
77.9 IPS |