| User | Ale |
| Upload Date | November 01 2024 08:35 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon Pro 5300M |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| Model | MacBook Pro (16-inch Late 2019) |
| Model ID | MacBookPro16,1 |
| Motherboard | Apple Inc. Mac-E1008331FDC96864 MacBookPro16,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9750H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2489
462.9 IPS |
|
|
Image Classification (HP)
|
100% |
2650
492.9 IPS |
|
|
Image Classification (Q)
|
96% |
138
25.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
304
4.93 IPS |
|
|
Image Segmentation (HP)
|
100% |
321
5.20 IPS |
|
|
Image Segmentation (Q)
|
99% |
209
3.39 IPS |
|
|
Pose Estimation (SP)
|
100% |
15802
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
14784
17.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
2014
2.36 IPS |
|
|
Object Detection (SP)
|
100% |
2461
195.2 IPS |
|
|
Object Detection (HP)
|
100% |
2386
189.2 IPS |
|
|
Object Detection (Q)
|
92% |
162
12.9 IPS |
|
|
Face Detection (SP)
|
100% |
9070
107.8 IPS |
|
|
Face Detection (HP)
|
100% |
9250
109.9 IPS |
|
|
Face Detection (Q)
|
100% |
220
2.62 IPS |
|
|
Depth Estimation (SP)
|
100% |
11452
88.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
10523
81.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9880
77.1 IPS |
|
|
Style Transfer (SP)
|
100% |
29702
38.2 IPS |
|
|
Style Transfer (HP)
|
100% |
29605
38.1 IPS |
|
|
Style Transfer (Q)
|
96% |
37733
48.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5459
201.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6105
225.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5753
212.4 IPS |
|
|
Text Classification (SP)
|
100% |
390
520.7 IPS |
|
|
Text Classification (HP)
|
100% |
454
605.6 IPS |
|
|
Text Classification (Q)
|
93% |
531
713.3 IPS |
|
|
Machine Translation (SP)
|
100% |
534
9.19 IPS |
|
|
Machine Translation (HP)
|
100% |
433
7.46 IPS |
|
|
Machine Translation (Q)
|
98% |
438
7.57 IPS |