| User | SpreadDurst |
| Upload Date | October 26 2025 11:34 PM |
| Views | 26 |
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B5072a) |
| 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 | 3.13 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3644
677.7 IPS |
|
|
Image Classification (HP)
|
100% |
3772
701.4 IPS |
|
|
Image Classification (Q)
|
96% |
3448
643.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
6724
109.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
6900
111.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
6568
106.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
30128
35.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
33268
38.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
32353
37.9 IPS |
|
|
Object Detection (SP)
|
100% |
3613
286.6 IPS |
|
|
Object Detection (HP)
|
100% |
3721
295.1 IPS |
|
|
Object Detection (Q)
|
92% |
3402
271.5 IPS |
|
|
Face Detection (SP)
|
100% |
12671
150.6 IPS |
|
|
Face Detection (HP)
|
100% |
13542
160.9 IPS |
|
|
Face Detection (Q)
|
100% |
11506
136.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
17907
138.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
17507
134.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
15774
123.2 IPS |
|
|
Style Transfer (SP)
|
100% |
49828
64.1 IPS |
|
|
Style Transfer (HP)
|
100% |
59786
76.9 IPS |
|
|
Style Transfer (Q)
|
96% |
58245
75.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9439
348.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10363
382.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8739
322.7 IPS |
|
|
Text Classification (SP)
|
100% |
2252
3.01 KIPS |
|
|
Text Classification (HP)
|
99% |
3934
5.25 KIPS |
|
|
Text Classification (Q)
|
93% |
3868
5.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
2462
42.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2587
44.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2601
45.0 IPS |