| User | T--m |
| Upload Date | March 19 2025 09:14 PM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| Model | MacBook Pro (14-inch, 2024) |
| Model ID | Mac16,8 |
| Motherboard | Mac16,8 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2093
389.2 IPS |
|
|
Image Classification (HP)
|
100% |
17357
3.23 KIPS |
|
|
Image Classification (Q)
|
97% |
22288
4.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2597
42.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
23227
376.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
32282
523.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
19036
22.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
123371
144.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
231224
271.0 IPS |
|
|
Object Detection (SP)
|
100% |
2486
197.2 IPS |
|
|
Object Detection (HP)
|
100% |
19980
1.58 KIPS |
|
|
Object Detection (Q)
|
91% |
24032
1.92 KIPS |
|
|
Face Detection (SP)
|
100% |
4641
55.1 IPS |
|
|
Face Detection (HP)
|
100% |
44949
534.1 IPS |
|
|
Face Detection (Q)
|
100% |
63736
757.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8688
66.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
107529
828.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
177561
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
35048
45.1 IPS |
|
|
Style Transfer (HP)
|
100% |
237989
305.9 IPS |
|
|
Style Transfer (Q)
|
96% |
302824
390.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7099
262.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46646
1.72 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78531
2.90 KIPS |
|
|
Text Classification (SP)
|
100% |
2923
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5137
6.86 KIPS |
|
|
Text Classification (Q)
|
93% |
5224
7.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
5798
99.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16246
279.8 IPS |
|
|
Machine Translation (Q)
|
98% |
16181
279.6 IPS |