User | rhoshambo_yyc |
Upload Date | November 21 2024 04:20 AM |
Views | 2 |
AI Information | |
---|---|
Framework | Core ML |
Backend | Neural Engine |
Device | Apple M2 Max |
System Information | |
---|---|
Operating System | macOS 15.1 (Build 24B83) |
Model | Mac Studio (2023) |
Model ID | Mac14,13 |
Motherboard | Mac14,13 |
CPU Information | |
---|---|
Name | Apple M2 Max |
Topology | 1 Processor, 12 Cores |
Identifier | Apple M2 Max |
Base Frequency | 3.67 GHz |
Cluster 1 | 8 Cores |
Cluster 2 | 4 Cores |
Memory Information | |
---|---|
Size | 96.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
1397
259.8 IPS |
|
Image Classification (HP)
|
100% |
13493
2.51 KIPS |
|
Image Classification (Q)
|
96% |
16475
3.08 KIPS |
|
Image Segmentation (SP)
|
100% |
1703
27.6 IPS |
|
Image Segmentation (HP)
|
100% |
19411
314.7 IPS |
|
Image Segmentation (Q)
|
99% |
24016
389.3 IPS |
|
Pose Estimation (SP)
|
100% |
13027
15.2 IPS |
|
Pose Estimation (HP)
|
100% |
106121
123.8 IPS |
|
Pose Estimation (Q)
|
95% |
104258
122.2 IPS |
|
Object Detection (SP)
|
100% |
1714
136.0 IPS |
|
Object Detection (HP)
|
99% |
15601
1.24 KIPS |
|
Object Detection (Q)
|
91% |
17149
1.37 KIPS |
|
Face Detection (SP)
|
100% |
3554
42.2 IPS |
|
Face Detection (HP)
|
100% |
35784
425.2 IPS |
|
Face Detection (Q)
|
100% |
46221
549.2 IPS |
|
Depth Estimation (SP)
|
100% |
6179
47.6 IPS |
|
Depth Estimation (HP)
|
99% |
87230
672.1 IPS |
|
Depth Estimation (Q)
|
85% |
108127
845.0 IPS |
|
Style Transfer (SP)
|
100% |
24995
32.1 IPS |
|
Style Transfer (HP)
|
100% |
203309
261.4 IPS |
|
Style Transfer (Q)
|
96% |
189509
244.6 IPS |
|
Image Super-Resolution (SP)
|
100% |
5109
188.6 IPS |
|
Image Super-Resolution (HP)
|
100% |
40670
1.50 KIPS |
|
Image Super-Resolution (Q)
|
99% |
48396
1.79 KIPS |
|
Text Classification (SP)
|
100% |
2276
3.04 KIPS |
|
Text Classification (HP)
|
100% |
3993
5.33 KIPS |
|
Text Classification (Q)
|
93% |
4006
5.38 KIPS |
|
Machine Translation (SP)
|
100% |
4157
71.6 IPS |
|
Machine Translation (HP)
|
100% |
4889
84.2 IPS |
|
Machine Translation (Q)
|
98% |
5651
97.7 IPS |