| User | jcpenni |
| Upload Date | August 15 2024 09:31 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 | 3.03 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
969
180.1 IPS |
|
|
Image Classification (HP)
|
100% |
6385
1.19 KIPS |
|
|
Image Classification (Q)
|
99% |
6579
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
657
10.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4227
68.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
4283
69.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5574
6.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
68059
79.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
65546
76.9 IPS |
|
|
Object Detection (SP)
|
100% |
1009
80.0 IPS |
|
|
Object Detection (HP)
|
99% |
7173
570.6 IPS |
|
|
Object Detection (Q)
|
93% |
6749
538.5 IPS |
|
|
Face Detection (SP)
|
100% |
1813
21.5 IPS |
|
|
Face Detection (HP)
|
100% |
12238
145.4 IPS |
|
|
Face Detection (Q)
|
100% |
12554
149.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3476
26.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
44801
345.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
47166
364.7 IPS |
|
|
Style Transfer (SP)
|
100% |
9726
12.5 IPS |
|
|
Style Transfer (HP)
|
100% |
120431
154.8 IPS |
|
|
Style Transfer (Q)
|
100% |
125694
161.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2669
98.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18165
670.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
20801
770.6 IPS |
|
|
Text Classification (SP)
|
100% |
529
706.4 IPS |
|
|
Text Classification (HP)
|
100% |
2936
3.92 KIPS |
|
|
Text Classification (Q)
|
93% |
3004
4.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
1346
23.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2296
39.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2284
39.5 IPS |