| User | MST36-JP |
| Upload Date | September 01 2024 01:22 PM |
| Views | 17 |
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon RX 6600 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 | 32.00 GB |
| Transfer Rate | 3733 MT/s |
| Type | LPDDR4X |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
561
104.4 IPS |
|
|
Image Classification (HP)
|
100% |
546
101.6 IPS |
|
|
Image Classification (Q)
|
99% |
443
82.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
232
3.77 IPS |
|
|
Image Segmentation (HP)
|
100% |
249
4.04 IPS |
|
|
Image Segmentation (Q)
|
100% |
264
4.28 IPS |
|
|
Pose Estimation (SP)
|
100% |
7816
9.12 IPS |
|
|
Pose Estimation (HP)
|
99% |
11621
13.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
1482
1.74 IPS |
|
|
Object Detection (SP)
|
100% |
601
47.7 IPS |
|
|
Object Detection (HP)
|
100% |
526
41.7 IPS |
|
|
Object Detection (Q)
|
93% |
139
11.1 IPS |
|
|
Face Detection (SP)
|
100% |
1695
20.1 IPS |
|
|
Face Detection (HP)
|
100% |
1599
19.0 IPS |
|
|
Face Detection (Q)
|
100% |
240
2.85 IPS |
|
|
Depth Estimation (SP)
|
100% |
21827
168.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
22718
175.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
21405
165.5 IPS |
|
|
Style Transfer (SP)
|
100% |
53452
68.7 IPS |
|
|
Style Transfer (HP)
|
100% |
58598
75.3 IPS |
|
|
Style Transfer (Q)
|
100% |
57835
74.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6889
254.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11565
427.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
10592
392.4 IPS |
|
|
Text Classification (SP)
|
100% |
446
595.8 IPS |
|
|
Text Classification (HP)
|
100% |
442
589.5 IPS |
|
|
Text Classification (Q)
|
93% |
337
452.2 IPS |
|
|
Machine Translation (SP)
|
100% |
341
5.88 IPS |
|
|
Machine Translation (HP)
|
100% |
267
4.59 IPS |
|
|
Machine Translation (Q)
|
98% |
207
3.57 IPS |