| User | richh- |
| Upload Date | February 06 2025 08:01 PM |
| Views | 21 |
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Xeon W-3275M |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| Model | Mac Pro (Late 2019) |
| Model ID | MacPro7,1 |
| Motherboard | Apple Inc. Mac-27AD2F918AE68F61 MacPro7,1 |
| CPU Information | |
|---|---|
| Name | Intel Xeon W-3275M |
| Topology | 1 Processor, 28 Cores, 56 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 7 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 28 Cores |
| Memory Information | |
|---|---|
| Size | 768.00 GB |
| Transfer Rate | 2933 MT/s |
| Type | DDR4 |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
462
85.9 IPS |
|
|
Image Classification (HP)
|
100% |
296
55.1 IPS |
|
|
Image Classification (Q)
|
96% |
152
28.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
652
10.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
418
6.78 IPS |
|
|
Image Segmentation (Q)
|
99% |
277
4.49 IPS |
|
|
Pose Estimation (SP)
|
100% |
3066
3.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
1655
1.93 IPS |
|
|
Pose Estimation (Q)
|
96% |
1331
1.56 IPS |
|
|
Object Detection (SP)
|
100% |
500
39.7 IPS |
|
|
Object Detection (HP)
|
100% |
349
27.7 IPS |
|
|
Object Detection (Q)
|
92% |
196
15.7 IPS |
|
|
Face Detection (SP)
|
100% |
997
11.8 IPS |
|
|
Face Detection (HP)
|
100% |
718
8.53 IPS |
|
|
Face Detection (Q)
|
100% |
308
3.66 IPS |
|
|
Depth Estimation (SP)
|
100% |
1539
11.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1415
10.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
748
5.85 IPS |
|
|
Style Transfer (SP)
|
100% |
5457
7.01 IPS |
|
|
Style Transfer (HP)
|
100% |
6057
7.79 IPS |
|
|
Style Transfer (Q)
|
96% |
3639
4.70 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
882
32.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
835
30.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
399
14.7 IPS |
|
|
Text Classification (SP)
|
100% |
563
751.2 IPS |
|
|
Text Classification (HP)
|
100% |
347
463.2 IPS |
|
|
Text Classification (Q)
|
93% |
350
469.5 IPS |
|
|
Machine Translation (SP)
|
100% |
375
6.47 IPS |
|
|
Machine Translation (HP)
|
100% |
460
7.93 IPS |
|
|
Machine Translation (Q)
|
98% |
474
8.19 IPS |