| User | 0x1ac |
| Upload Date | March 08 2026 10:52 PM |
| Views | 13 |
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| Model | MacBook Pro (14-inch, 2021) |
| Model ID | MacBookPro18,3 |
| Motherboard | MacBookPro18,3 |
| CPU Information | |
|---|---|
| Name | Apple M1 Pro |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Pro |
| Base Frequency | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1332
247.8 IPS |
|
|
Image Classification (HP)
|
100% |
4777
888.4 IPS |
|
|
Image Classification (Q)
|
96% |
4282
799.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1513
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
7900
128.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
9586
155.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10480
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
62237
72.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
61805
72.4 IPS |
|
|
Object Detection (SP)
|
100% |
1512
119.9 IPS |
|
|
Object Detection (HP)
|
99% |
6551
521.1 IPS |
|
|
Object Detection (Q)
|
91% |
6469
516.9 IPS |
|
|
Face Detection (SP)
|
100% |
3310
39.3 IPS |
|
|
Face Detection (HP)
|
100% |
12389
147.2 IPS |
|
|
Face Detection (Q)
|
100% |
11442
136.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5700
43.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
33020
254.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
32983
257.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22165
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
100855
129.7 IPS |
|
|
Style Transfer (Q)
|
96% |
98436
127.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4126
152.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14631
540.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14006
517.2 IPS |
|
|
Text Classification (SP)
|
100% |
2361
3.15 KIPS |
|
|
Text Classification (HP)
|
99% |
4174
5.57 KIPS |
|
|
Text Classification (Q)
|
93% |
4116
5.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3001
51.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3791
65.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3767
65.1 IPS |