| User | MST36-JP |
| Upload Date | August 19 2024 02:47 PM |
| Views | 18 |
| 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% |
567
105.4 IPS |
|
|
Image Classification (HP)
|
100% |
622
115.7 IPS |
|
|
Image Classification (Q)
|
99% |
556
103.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
282
4.58 IPS |
|
|
Image Segmentation (HP)
|
100% |
300
4.87 IPS |
|
|
Image Segmentation (Q)
|
100% |
289
4.68 IPS |
|
|
Pose Estimation (SP)
|
100% |
7725
9.01 IPS |
|
|
Pose Estimation (HP)
|
99% |
11678
13.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
1629
1.91 IPS |
|
|
Object Detection (SP)
|
100% |
583
46.3 IPS |
|
|
Object Detection (HP)
|
100% |
520
41.2 IPS |
|
|
Object Detection (Q)
|
93% |
124
9.86 IPS |
|
|
Face Detection (SP)
|
100% |
1911
22.7 IPS |
|
|
Face Detection (HP)
|
100% |
1843
21.9 IPS |
|
|
Face Detection (Q)
|
100% |
217
2.58 IPS |
|
|
Depth Estimation (SP)
|
100% |
22029
169.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
21625
166.6 IPS |
|
|
Depth Estimation (Q)
|
97% |
22030
170.3 IPS |
|
|
Style Transfer (SP)
|
100% |
62078
79.8 IPS |
|
|
Style Transfer (HP)
|
100% |
66067
84.9 IPS |
|
|
Style Transfer (Q)
|
100% |
63986
82.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6249
230.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11357
419.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
8994
333.2 IPS |
|
|
Text Classification (SP)
|
100% |
382
510.4 IPS |
|
|
Text Classification (HP)
|
100% |
385
513.8 IPS |
|
|
Text Classification (Q)
|
93% |
291
391.1 IPS |
|
|
Machine Translation (SP)
|
100% |
329
5.67 IPS |
|
|
Machine Translation (HP)
|
100% |
270
4.65 IPS |
|
|
Machine Translation (Q)
|
98% |
250
4.31 IPS |