| User | kdw4gb |
| Upload Date | November 22 2024 06:44 PM |
| Views | 12 |
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon RX 5700 XT |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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% |
626
116.5 IPS |
|
|
Image Classification (HP)
|
100% |
558
103.8 IPS |
|
|
Image Classification (Q)
|
96% |
129
24.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
299
4.84 IPS |
|
|
Image Segmentation (HP)
|
100% |
281
4.56 IPS |
|
|
Image Segmentation (Q)
|
99% |
162
2.63 IPS |
|
|
Pose Estimation (SP)
|
100% |
7680
8.96 IPS |
|
|
Pose Estimation (HP)
|
99% |
12193
14.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
1833
2.15 IPS |
|
|
Object Detection (SP)
|
100% |
642
50.9 IPS |
|
|
Object Detection (HP)
|
100% |
647
51.3 IPS |
|
|
Object Detection (Q)
|
93% |
148
11.8 IPS |
|
|
Face Detection (SP)
|
100% |
1895
22.5 IPS |
|
|
Face Detection (HP)
|
100% |
1835
21.8 IPS |
|
|
Face Detection (Q)
|
100% |
226
2.68 IPS |
|
|
Depth Estimation (SP)
|
94% |
22943
177.6 IPS |
|
|
Depth Estimation (HP)
|
94% |
23109
178.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
20932
163.6 IPS |
|
|
Style Transfer (SP)
|
100% |
70073
90.1 IPS |
|
|
Style Transfer (HP)
|
100% |
76131
97.9 IPS |
|
|
Style Transfer (Q)
|
96% |
100428
129.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5961
220.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9921
366.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10501
387.7 IPS |
|
|
Text Classification (SP)
|
99% |
393
524.0 IPS |
|
|
Text Classification (HP)
|
99% |
161
214.5 IPS |
|
|
Text Classification (Q)
|
93% |
258
345.6 IPS |
|
|
Machine Translation (SP)
|
100% |
609
10.5 IPS |
|
|
Machine Translation (HP)
|
100% |
455
7.84 IPS |
|
|
Machine Translation (Q)
|
98% |
389
6.72 IPS |