| User | M1_MACBOOK |
| Upload Date | November 17 2024 05:18 AM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.7.1 (Build 23H222) |
| 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 | 1.39 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
215
40.0 IPS |
|
|
Image Classification (HP)
|
100% |
2914
541.9 IPS |
|
|
Image Classification (Q)
|
96% |
2591
483.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
134
2.18 IPS |
|
|
Image Segmentation (HP)
|
100% |
1971
31.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
128
2.08 IPS |
|
|
Pose Estimation (SP)
|
100% |
919
1.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
27199
31.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
26723
31.3 IPS |
|
|
Object Detection (SP)
|
100% |
352
27.9 IPS |
|
|
Object Detection (HP)
|
99% |
4187
333.1 IPS |
|
|
Object Detection (Q)
|
93% |
3245
258.9 IPS |
|
|
Face Detection (SP)
|
100% |
431
5.12 IPS |
|
|
Face Detection (HP)
|
100% |
5120
60.8 IPS |
|
|
Face Detection (Q)
|
100% |
5951
70.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
612
4.71 IPS |
|
|
Depth Estimation (HP)
|
99% |
18876
145.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
22467
175.6 IPS |
|
|
Style Transfer (SP)
|
100% |
2100
2.70 IPS |
|
|
Style Transfer (HP)
|
100% |
53823
69.2 IPS |
|
|
Style Transfer (Q)
|
96% |
50141
64.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
515
19.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8524
314.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9466
349.6 IPS |
|
|
Text Classification (SP)
|
100% |
104
139.0 IPS |
|
|
Text Classification (HP)
|
100% |
1665
2.22 KIPS |
|
|
Text Classification (Q)
|
93% |
1622
2.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
273
4.70 IPS |
|
|
Machine Translation (HP)
|
100% |
689
11.9 IPS |
|
|
Machine Translation (Q)
|
98% |
663
11.5 IPS |