| User | kgestring |
| Upload Date | January 23 2026 01:23 AM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D5101c) |
| Model | Mac mini (2024) |
| Model ID | Mac16,11 |
| Motherboard | Mac16,11 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7434
1.38 KIPS |
|
|
Image Classification (HP)
|
100% |
7707
1.43 KIPS |
|
|
Image Classification (Q)
|
94% |
6942
1.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14149
229.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
14976
242.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
14343
232.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
54274
63.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
59442
69.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
56978
66.7 IPS |
|
|
Object Detection (SP)
|
100% |
6661
528.4 IPS |
|
|
Object Detection (HP)
|
100% |
7026
557.3 IPS |
|
|
Object Detection (Q)
|
90% |
6876
549.8 IPS |
|
|
Face Detection (SP)
|
100% |
26535
315.3 IPS |
|
|
Face Detection (HP)
|
100% |
30648
364.2 IPS |
|
|
Face Detection (Q)
|
100% |
24658
293.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
32934
253.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
34213
263.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
31805
248.8 IPS |
|
|
Style Transfer (SP)
|
100% |
119956
154.2 IPS |
|
|
Style Transfer (HP)
|
100% |
133452
171.6 IPS |
|
|
Style Transfer (Q)
|
96% |
131078
169.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19856
733.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20277
748.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18034
665.9 IPS |
|
|
Text Classification (SP)
|
100% |
3110
4.15 KIPS |
|
|
Text Classification (HP)
|
99% |
5478
7.31 KIPS |
|
|
Text Classification (Q)
|
93% |
5432
7.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3277
56.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2155
37.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1975
34.1 IPS |