| User | whay |
| Upload Date | August 18 2024 03:35 AM |
| Views | 15 |
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | MacBook Pro (13-inch Late 2020) |
| Model ID | MacBookPro17,1 |
| Motherboard | MacBookPro17,1 |
| CPU Information | |
|---|---|
| Name | Apple M1 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1304
242.5 IPS |
|
|
Image Classification (HP)
|
100% |
1692
314.7 IPS |
|
|
Image Classification (Q)
|
99% |
1684
314.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1158
18.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1071
17.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
1044
16.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5827
6.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
13451
15.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
11502
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1404
111.4 IPS |
|
|
Object Detection (HP)
|
97% |
1960
156.0 IPS |
|
|
Object Detection (Q)
|
94% |
1522
121.3 IPS |
|
|
Face Detection (SP)
|
100% |
2347
27.9 IPS |
|
|
Face Detection (HP)
|
100% |
3967
47.1 IPS |
|
|
Face Detection (Q)
|
100% |
2608
31.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5225
40.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
8162
63.1 IPS |
|
|
Depth Estimation (Q)
|
96% |
3994
30.9 IPS |
|
|
Style Transfer (SP)
|
100% |
15666
20.1 IPS |
|
|
Style Transfer (HP)
|
100% |
24934
32.1 IPS |
|
|
Style Transfer (Q)
|
100% |
24778
31.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3378
124.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4578
169.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3383
125.3 IPS |
|
|
Text Classification (SP)
|
100% |
2285
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3667
4.89 KIPS |
|
|
Text Classification (Q)
|
93% |
3349
4.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
1845
31.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3150
54.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3030
52.4 IPS |