| User | gethen | 
| Upload Date | June 20 2025 10:53 AM | 
| Views | 19 | 
| AI Information | |
|---|---|
| Framework | Core ML | 
| Backend | CPU | 
| Device | Apple M3 Pro | 
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) | 
| Model | MacBook Pro (14-inch, Nov 2023) | 
| Model ID | Mac15,6 | 
| Motherboard | Mac15,6 | 
| CPU Information | |
|---|---|
| Name | Apple M3 Pro | 
| Topology | 1 Processor, 12 Cores | 
| Identifier | Apple M3 Pro | 
| Base Frequency | 4.05 GHz | 
| Cluster 1 | 6 Cores | 
| Cluster 2 | 6 Cores | 
| Memory Information | |
|---|---|
| Size | 18.00 GB | 
| Workload | Accuracy | Score | |
|---|---|---|---|
| 
Image Classification (SP)
 | 
100% | 
1614
 300.1 IPS  | 
|
| 
Image Classification (HP)
 | 
100% | 
2856
 531.1 IPS  | 
|
| 
Image Classification (Q)
 | 
96% | 
1961
 366.2 IPS  | 
|
| 
Image Segmentation (SP)
 | 
100% | 
1967
 31.9 IPS  | 
|
| 
Image Segmentation (HP)
 | 
100% | 
3010
 48.8 IPS  | 
|
| 
Image Segmentation (Q)
 | 
99% | 
3275
 53.1 IPS  | 
|
| 
Pose Estimation (SP)
 | 
100% | 
8996
 10.5 IPS  | 
|
| 
Pose Estimation (HP)
 | 
100% | 
17471
 20.4 IPS  | 
|
| 
Pose Estimation (Q)
 | 
95% | 
15008
 17.6 IPS  | 
|
| 
Object Detection (SP)
 | 
100% | 
1821
 144.4 IPS  | 
|
| 
Object Detection (HP)
 | 
97% | 
3186
 253.6 IPS  | 
|
| 
Object Detection (Q)
 | 
94% | 
2292
 182.7 IPS  | 
|
| 
Face Detection (SP)
 | 
100% | 
3692
 43.9 IPS  | 
|
| 
Face Detection (HP)
 | 
100% | 
6638
 78.9 IPS  | 
|
| 
Face Detection (Q)
 | 
100% | 
3937
 46.8 IPS  | 
|
| 
Depth Estimation (SP)
 | 
100% | 
7184
 55.3 IPS  | 
|
| 
Depth Estimation (HP)
 | 
98% | 
12716
 98.3 IPS  | 
|
| 
Depth Estimation (Q)
 | 
85% | 
8911
 69.7 IPS  | 
|
| 
Style Transfer (SP)
 | 
100% | 
22320
 28.7 IPS  | 
|
| 
Style Transfer (HP)
 | 
100% | 
34101
 43.8 IPS  | 
|
| 
Style Transfer (Q)
 | 
96% | 
28125
 36.3 IPS  | 
|
| 
Image Super-Resolution (SP)
 | 
100% | 
5344
 197.3 IPS  | 
|
| 
Image Super-Resolution (HP)
 | 
100% | 
6085
 224.7 IPS  | 
|
| 
Image Super-Resolution (Q)
 | 
99% | 
4378
 161.6 IPS  | 
|
| 
Text Classification (SP)
 | 
100% | 
2878
 3.84 KIPS  | 
|
| 
Text Classification (HP)
 | 
100% | 
5148
 6.87 KIPS  | 
|
| 
Text Classification (Q)
 | 
93% | 
5111
 6.86 KIPS  | 
|
| 
Machine Translation (SP)
 | 
100% | 
3445
 59.3 IPS  | 
|
| 
Machine Translation (HP)
 | 
98% | 
7766
 134.2 IPS  | 
|
| 
Machine Translation (Q)
 | 
98% | 
7755
 134.0 IPS  |