| User | kdw4gb |
| Upload Date | August 19 2024 10:05 AM |
| Views | 10 |
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon RX 5700 XT |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | MacBook Pro (13-inch Mid 2020) |
| Model ID | MacBookPro16,2 |
| Motherboard | Apple Inc. Mac-5F9802EFE386AA28 MacBookPro16,2 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1038NG7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 126 Stepping 5 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Transfer Rate | 3733 MT/s |
| Type | LPDDR4X |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
683
127.0 IPS |
|
|
Image Classification (HP)
|
100% |
567
105.4 IPS |
|
|
Image Classification (Q)
|
99% |
567
105.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
319
5.17 IPS |
|
|
Image Segmentation (HP)
|
100% |
314
5.09 IPS |
|
|
Image Segmentation (Q)
|
100% |
295
4.79 IPS |
|
|
Pose Estimation (SP)
|
100% |
7767
9.06 IPS |
|
|
Pose Estimation (HP)
|
99% |
12216
14.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
1737
2.03 IPS |
|
|
Object Detection (SP)
|
100% |
684
54.3 IPS |
|
|
Object Detection (HP)
|
100% |
665
52.8 IPS |
|
|
Object Detection (Q)
|
93% |
146
11.7 IPS |
|
|
Face Detection (SP)
|
100% |
2154
25.6 IPS |
|
|
Face Detection (HP)
|
100% |
2051
24.4 IPS |
|
|
Face Detection (Q)
|
100% |
226
2.69 IPS |
|
|
Depth Estimation (SP)
|
94% |
22050
170.8 IPS |
|
|
Depth Estimation (HP)
|
94% |
21189
164.1 IPS |
|
|
Depth Estimation (Q)
|
95% |
21274
164.6 IPS |
|
|
Style Transfer (SP)
|
100% |
68395
87.9 IPS |
|
|
Style Transfer (HP)
|
100% |
69816
89.7 IPS |
|
|
Style Transfer (Q)
|
100% |
69865
89.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6256
231.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8223
303.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
10452
387.2 IPS |
|
|
Text Classification (SP)
|
100% |
406
542.3 IPS |
|
|
Text Classification (HP)
|
100% |
150
200.7 IPS |
|
|
Text Classification (Q)
|
93% |
232
311.9 IPS |
|
|
Machine Translation (SP)
|
100% |
614
10.6 IPS |
|
|
Machine Translation (HP)
|
100% |
474
8.16 IPS |
|
|
Machine Translation (Q)
|
98% |
469
8.11 IPS |