| User | Marina |
| Upload Date | December 14 2024 01:34 PM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon RX 5700 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C100) |
| Model | MacPro7,1 |
| Model ID | MacPro7,1 |
| Motherboard | Acidanthera Mac-27AD2F918AE68F61 MacPro7,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i9-7960X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 4 |
| Base Frequency | 2.80 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Transfer Rate | 3200 MT/s |
| Type | DDR4 |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
94% |
4129
771.6 IPS |
|
|
Image Classification (HP)
|
94% |
4285
800.8 IPS |
|
|
Image Classification (Q)
|
96% |
98
18.3 IPS |
|
|
Image Segmentation (SP)
|
99% |
402
6.51 IPS |
|
|
Image Segmentation (HP)
|
99% |
417
6.76 IPS |
|
|
Image Segmentation (Q)
|
99% |
186
3.01 IPS |
|
|
Pose Estimation (SP)
|
100% |
33957
39.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
34312
40.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
2315
2.71 IPS |
|
|
Object Detection (SP)
|
91% |
4104
327.8 IPS |
|
|
Object Detection (HP)
|
91% |
3923
313.5 IPS |
|
|
Object Detection (Q)
|
92% |
96
7.68 IPS |
|
|
Face Detection (SP)
|
100% |
10363
123.1 IPS |
|
|
Face Detection (HP)
|
100% |
13126
156.0 IPS |
|
|
Face Detection (Q)
|
100% |
213
2.53 IPS |
|
|
Depth Estimation (SP)
|
94% |
20410
158.0 IPS |
|
|
Depth Estimation (HP)
|
94% |
20591
159.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
19812
154.9 IPS |
|
|
Style Transfer (SP)
|
100% |
60891
78.3 IPS |
|
|
Style Transfer (HP)
|
100% |
61730
79.4 IPS |
|
|
Style Transfer (Q)
|
96% |
77706
100.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7335
270.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10701
395.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9660
356.7 IPS |
|
|
Text Classification (SP)
|
99% |
475
634.6 IPS |
|
|
Text Classification (HP)
|
99% |
259
346.1 IPS |
|
|
Text Classification (Q)
|
93% |
260
348.6 IPS |
|
|
Machine Translation (SP)
|
100% |
990
17.1 IPS |
|
|
Machine Translation (HP)
|
100% |
754
13.0 IPS |
|
|
Machine Translation (Q)
|
98% |
750
13.0 IPS |