User | inc7007 |
Upload Date | January 17 2025 02:48 PM |
Views | 1 |
AI Information | |
---|---|
Framework | Core ML |
Backend | GPU |
Device | Apple M2 |
System Information | |
---|---|
Operating System | macOS 15.2 (Build 24C101) |
Model | Mac mini (2023) |
Model ID | Mac14,3 |
Motherboard | Mac14,3 |
CPU Information | |
---|---|
Name | Apple M2 |
Topology | 1 Processor, 8 Cores |
Identifier | Apple M2 |
Base Frequency | 3.48 GHz |
Cluster 1 | 4 Cores |
Cluster 2 | 4 Cores |
Memory Information | |
---|---|
Size | 8.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
3661
680.9 IPS |
|
Image Classification (HP)
|
100% |
3644
677.6 IPS |
|
Image Classification (Q)
|
99% |
3644
679.7 IPS |
|
Image Segmentation (SP)
|
100% |
4071
66.0 IPS |
|
Image Segmentation (HP)
|
100% |
5012
81.2 IPS |
|
Image Segmentation (Q)
|
100% |
5019
81.4 IPS |
|
Pose Estimation (SP)
|
100% |
24672
28.8 IPS |
|
Pose Estimation (HP)
|
100% |
26295
30.7 IPS |
|
Pose Estimation (Q)
|
97% |
24026
28.1 IPS |
|
Object Detection (SP)
|
100% |
3522
279.3 IPS |
|
Object Detection (HP)
|
100% |
3721
295.2 IPS |
|
Object Detection (Q)
|
91% |
3073
245.5 IPS |
|
Face Detection (SP)
|
100% |
10450
124.2 IPS |
|
Face Detection (HP)
|
100% |
12058
143.3 IPS |
|
Face Detection (Q)
|
100% |
8450
100.4 IPS |
|
Depth Estimation (SP)
|
100% |
16678
128.5 IPS |
|
Depth Estimation (HP)
|
99% |
17898
137.9 IPS |
|
Depth Estimation (Q)
|
97% |
2792
21.6 IPS |
|
Style Transfer (SP)
|
100% |
42976
55.2 IPS |
|
Style Transfer (HP)
|
100% |
48613
62.5 IPS |
|
Style Transfer (Q)
|
100% |
48597
62.5 IPS |
|
Image Super-Resolution (SP)
|
100% |
9822
362.7 IPS |
|
Image Super-Resolution (HP)
|
100% |
10187
376.2 IPS |
|
Image Super-Resolution (Q)
|
98% |
7792
288.7 IPS |
|
Text Classification (SP)
|
100% |
2293
3.06 KIPS |
|
Text Classification (HP)
|
100% |
3759
5.02 KIPS |
|
Text Classification (Q)
|
93% |
3737
5.02 KIPS |
|
Machine Translation (SP)
|
100% |
960
16.5 IPS |
|
Machine Translation (HP)
|
100% |
911
15.7 IPS |
|
Machine Translation (Q)
|
98% |
922
15.9 IPS |