| User | Freade |
| Upload Date | October 20 2024 10:46 PM |
| Views | 13 |
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon Pro 5300M |
| System Information | |
|---|---|
| Operating System | macOS 15.0.1 (Build 24A348) |
| 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% |
2289
425.7 IPS |
|
|
Image Classification (HP)
|
100% |
2398
446.0 IPS |
|
|
Image Classification (Q)
|
96% |
106
19.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
234
3.80 IPS |
|
|
Image Segmentation (HP)
|
100% |
235
3.81 IPS |
|
|
Image Segmentation (Q)
|
99% |
167
2.70 IPS |
|
|
Pose Estimation (SP)
|
100% |
15435
18.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
14853
17.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
1817
2.13 IPS |
|
|
Object Detection (SP)
|
100% |
2434
193.0 IPS |
|
|
Object Detection (HP)
|
100% |
2372
188.2 IPS |
|
|
Object Detection (Q)
|
92% |
126
10.1 IPS |
|
|
Face Detection (SP)
|
100% |
8928
106.1 IPS |
|
|
Face Detection (HP)
|
100% |
9236
109.7 IPS |
|
|
Face Detection (Q)
|
100% |
181
2.15 IPS |
|
|
Depth Estimation (SP)
|
100% |
11317
87.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
10664
82.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9871
77.1 IPS |
|
|
Style Transfer (SP)
|
100% |
29243
37.6 IPS |
|
|
Style Transfer (HP)
|
100% |
29471
37.9 IPS |
|
|
Style Transfer (Q)
|
96% |
38312
49.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4734
174.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6327
233.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5546
204.8 IPS |
|
|
Text Classification (SP)
|
100% |
259
345.7 IPS |
|
|
Text Classification (HP)
|
100% |
353
470.6 IPS |
|
|
Text Classification (Q)
|
93% |
331
443.8 IPS |
|
|
Machine Translation (SP)
|
100% |
498
8.57 IPS |
|
|
Machine Translation (HP)
|
100% |
438
7.54 IPS |
|
|
Machine Translation (Q)
|
98% |
431
7.45 IPS |