| User | M1_MACBOOK |
| Upload Date | October 31 2024 08:51 AM |
| Views | 17 |
| 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 | 2.38 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
703
130.7 IPS |
|
|
Image Classification (HP)
|
100% |
5530
1.03 KIPS |
|
|
Image Classification (Q)
|
96% |
3927
733.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
406
6.58 IPS |
|
|
Image Segmentation (HP)
|
100% |
3446
55.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
161
2.60 IPS |
|
|
Pose Estimation (SP)
|
100% |
1585
1.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
28995
33.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
26188
30.7 IPS |
|
|
Object Detection (SP)
|
100% |
290
23.0 IPS |
|
|
Object Detection (HP)
|
99% |
3540
281.6 IPS |
|
|
Object Detection (Q)
|
93% |
3237
258.3 IPS |
|
|
Face Detection (SP)
|
100% |
651
7.74 IPS |
|
|
Face Detection (HP)
|
100% |
5075
60.3 IPS |
|
|
Face Detection (Q)
|
100% |
5557
66.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1148
8.84 IPS |
|
|
Depth Estimation (HP)
|
99% |
19749
152.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
21502
168.0 IPS |
|
|
Style Transfer (SP)
|
100% |
3365
4.33 IPS |
|
|
Style Transfer (HP)
|
100% |
53032
68.2 IPS |
|
|
Style Transfer (Q)
|
96% |
109936
141.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1725
63.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16547
611.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9108
336.3 IPS |
|
|
Text Classification (SP)
|
100% |
195
260.6 IPS |
|
|
Text Classification (HP)
|
100% |
1892
2.53 KIPS |
|
|
Text Classification (Q)
|
93% |
1659
2.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
472
8.13 IPS |
|
|
Machine Translation (HP)
|
100% |
1247
21.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1237
21.4 IPS |