| Upload Date | January 28 2026 04:01 AM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i7-9750H |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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% |
449
83.5 IPS |
|
|
Image Classification (HP)
|
100% |
336
62.5 IPS |
|
|
Image Classification (Q)
|
96% |
180
33.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
407
6.60 IPS |
|
|
Image Segmentation (HP)
|
100% |
390
6.33 IPS |
|
|
Image Segmentation (Q)
|
99% |
278
4.51 IPS |
|
|
Pose Estimation (SP)
|
100% |
2774
3.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
812
0.95 IPS |
|
|
Pose Estimation (Q)
|
96% |
726
0.85 IPS |
|
|
Object Detection (SP)
|
100% |
467
37.0 IPS |
|
|
Object Detection (HP)
|
100% |
376
29.8 IPS |
|
|
Object Detection (Q)
|
92% |
213
17.0 IPS |
|
|
Face Detection (SP)
|
100% |
909
10.8 IPS |
|
|
Face Detection (HP)
|
100% |
707
8.40 IPS |
|
|
Face Detection (Q)
|
100% |
315
3.75 IPS |
|
|
Depth Estimation (SP)
|
100% |
1427
11.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1076
8.29 IPS |
|
|
Depth Estimation (Q)
|
85% |
685
5.36 IPS |
|
|
Style Transfer (SP)
|
100% |
4299
5.53 IPS |
|
|
Style Transfer (HP)
|
100% |
2887
3.71 IPS |
|
|
Style Transfer (Q)
|
96% |
2292
2.96 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1470
54.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
616
22.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
374
13.8 IPS |
|
|
Text Classification (SP)
|
100% |
484
645.4 IPS |
|
|
Text Classification (HP)
|
100% |
481
641.6 IPS |
|
|
Text Classification (Q)
|
93% |
479
642.7 IPS |
|
|
Machine Translation (SP)
|
100% |
592
10.2 IPS |
|
|
Machine Translation (HP)
|
100% |
572
9.86 IPS |
|
|
Machine Translation (Q)
|
98% |
551
9.51 IPS |