User | jessefreeman |
Upload Date | April 20 2025 06:16 PM |
Views | 3 |
AI Information | |
---|---|
Framework | Core ML |
Backend | Neural Engine |
Device | Apple M3 Ultra |
System Information | |
---|---|
Operating System | macOS 15.4.1 (Build 24E263) |
Model | Mac15,14 |
Model ID | Mac15,14 |
Motherboard | Mac15,14 |
CPU Information | |
---|---|
Name | Apple M3 Ultra |
Topology | 1 Processor, 28 Cores |
Identifier | Apple M3 Ultra |
Base Frequency | 4.04 GHz |
Cluster 1 | 20 Cores |
Cluster 2 | 8 Cores |
Memory Information | |
---|---|
Size | 256.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
1692
314.7 IPS |
|
Image Classification (HP)
|
100% |
15753
2.93 KIPS |
|
Image Classification (Q)
|
97% |
17342
3.24 KIPS |
|
Image Segmentation (SP)
|
100% |
2080
33.7 IPS |
|
Image Segmentation (HP)
|
100% |
21736
352.4 IPS |
|
Image Segmentation (Q)
|
99% |
27266
442.0 IPS |
|
Pose Estimation (SP)
|
100% |
22125
25.8 IPS |
|
Pose Estimation (HP)
|
100% |
120426
140.5 IPS |
|
Pose Estimation (Q)
|
95% |
118949
139.4 IPS |
|
Object Detection (SP)
|
100% |
2106
167.0 IPS |
|
Object Detection (HP)
|
100% |
18868
1.50 KIPS |
|
Object Detection (Q)
|
91% |
17707
1.41 KIPS |
|
Face Detection (SP)
|
100% |
4403
52.3 IPS |
|
Face Detection (HP)
|
100% |
38504
457.5 IPS |
|
Face Detection (Q)
|
100% |
49126
583.7 IPS |
|
Depth Estimation (SP)
|
100% |
7714
59.4 IPS |
|
Depth Estimation (HP)
|
99% |
105495
812.8 IPS |
|
Depth Estimation (Q)
|
85% |
119743
936.2 IPS |
|
Style Transfer (SP)
|
100% |
36087
46.4 IPS |
|
Style Transfer (HP)
|
100% |
220789
283.8 IPS |
|
Style Transfer (Q)
|
96% |
211279
272.6 IPS |
|
Image Super-Resolution (SP)
|
100% |
6846
252.8 IPS |
|
Image Super-Resolution (HP)
|
100% |
40229
1.49 KIPS |
|
Image Super-Resolution (Q)
|
99% |
50957
1.88 KIPS |
|
Text Classification (SP)
|
100% |
2757
3.68 KIPS |
|
Text Classification (HP)
|
100% |
5044
6.73 KIPS |
|
Text Classification (Q)
|
93% |
5005
6.72 KIPS |
|
Machine Translation (SP)
|
100% |
4660
80.3 IPS |
|
Machine Translation (HP)
|
100% |
5157
88.8 IPS |
|
Machine Translation (Q)
|
98% |
5439
94.0 IPS |