| User | electus |
| Upload Date | August 15 2024 08:41 PM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | MacBook Air (Late 2020) |
| Model ID | MacBookAir10,1 |
| Motherboard | MacBookAir10,1 |
| 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 | 8.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
982
182.7 IPS |
|
|
Image Classification (HP)
|
100% |
6385
1.19 KIPS |
|
|
Image Classification (Q)
|
99% |
6584
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
645
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4282
69.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
4248
68.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5690
6.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
67690
79.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
64509
75.7 IPS |
|
|
Object Detection (SP)
|
100% |
1077
85.5 IPS |
|
|
Object Detection (HP)
|
99% |
7148
568.6 IPS |
|
|
Object Detection (Q)
|
93% |
6568
524.1 IPS |
|
|
Face Detection (SP)
|
100% |
1848
22.0 IPS |
|
|
Face Detection (HP)
|
100% |
12207
145.0 IPS |
|
|
Face Detection (Q)
|
100% |
12013
142.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3382
26.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
44890
345.8 IPS |
|
|
Depth Estimation (Q)
|
97% |
47124
364.4 IPS |
|
|
Style Transfer (SP)
|
100% |
9904
12.7 IPS |
|
|
Style Transfer (HP)
|
100% |
119748
153.9 IPS |
|
|
Style Transfer (Q)
|
100% |
124594
160.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2660
98.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18105
668.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
20676
766.0 IPS |
|
|
Text Classification (SP)
|
100% |
512
683.1 IPS |
|
|
Text Classification (HP)
|
100% |
2687
3.59 KIPS |
|
|
Text Classification (Q)
|
93% |
2551
3.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
1362
23.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2293
39.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2277
39.3 IPS |