| User | Marina |
| Upload Date | April 22 2025 06:02 AM |
| Views | 12 |
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon RX 5700 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F5053f) |
| 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 | 256.00 GB |
| Transfer Rate | 3200 MT/s |
| Type | DDR4 |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
94% |
2944
550.1 IPS |
|
|
Image Classification (HP)
|
94% |
2913
544.3 IPS |
|
|
Image Classification (Q)
|
96% |
86
16.0 IPS |
|
|
Image Segmentation (SP)
|
99% |
398
6.46 IPS |
|
|
Image Segmentation (HP)
|
99% |
391
6.34 IPS |
|
|
Image Segmentation (Q)
|
99% |
188
3.04 IPS |
|
|
Pose Estimation (SP)
|
100% |
27298
31.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
28560
33.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
2389
2.80 IPS |
|
|
Object Detection (SP)
|
91% |
3237
258.6 IPS |
|
|
Object Detection (HP)
|
91% |
3276
261.7 IPS |
|
|
Object Detection (Q)
|
92% |
80
6.38 IPS |
|
|
Face Detection (SP)
|
100% |
10874
129.2 IPS |
|
|
Face Detection (HP)
|
100% |
11306
134.3 IPS |
|
|
Face Detection (Q)
|
100% |
207
2.46 IPS |
|
|
Depth Estimation (SP)
|
94% |
15664
121.3 IPS |
|
|
Depth Estimation (HP)
|
94% |
17478
135.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
15503
121.2 IPS |
|
|
Style Transfer (SP)
|
100% |
50926
65.5 IPS |
|
|
Style Transfer (HP)
|
100% |
51978
66.8 IPS |
|
|
Style Transfer (Q)
|
96% |
68040
87.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4931
182.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9370
346.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8336
307.8 IPS |
|
|
Text Classification (SP)
|
99% |
335
447.7 IPS |
|
|
Text Classification (HP)
|
99% |
210
279.9 IPS |
|
|
Text Classification (Q)
|
93% |
205
274.9 IPS |
|
|
Machine Translation (SP)
|
100% |
828
14.3 IPS |
|
|
Machine Translation (HP)
|
100% |
598
10.3 IPS |
|
|
Machine Translation (Q)
|
98% |
594
10.3 IPS |