MacBook Pro (15-inch Mid 2019)
Geekbench ML Score
428
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AVX2
Result Information
| Upload Date | January 07 2024 07:29 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.2.1 (Build 23C71) |
| Model | MacBook Pro (15-inch Mid 2019) |
| Model ID | MacBookPro15,1 |
| Motherboard | Apple Inc. Mac-937A206F2EE63C01 MacBookPro15,1 |
| 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 |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 32.0 KB x 6 |
| L2 Cache | 256 KB x 6 |
| L3 Cache | 12.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Transfer Rate | 2400 MT/s |
| Type | DDR4 |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
308
57.7 IPS |
|
|
Image Classification (F16)
|
100% |
247
46.3 IPS |
|
|
Image Classification (I8)
|
99% |
188
35.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
173
2.89 IPS |
|
|
Image Segmentation (F16)
|
100% |
135
2.26 IPS |
|
|
Image Segmentation (I8)
|
100% |
157
2.62 IPS |
|
|
Pose Estimation (F32)
|
100% |
1768
2.14 IPS |
|
|
Pose Estimation (F16)
|
100% |
1802
2.18 IPS |
|
|
Pose Estimation (I8)
|
100% |
1688
2.04 IPS |
|
|
Object Detection (F32)
|
100% |
263
19.7 IPS |
|
|
Object Detection (F16)
|
100% |
207
15.5 IPS |
|
|
Object Detection (I8)
|
97% |
241
18.0 IPS |
|
|
Face Detection (F32)
|
100% |
627
7.46 IPS |
|
|
Face Detection (F16)
|
100% |
572
6.81 IPS |
|
|
Face Detection (I8)
|
99% |
577
6.86 IPS |
|
|
Depth Estimation (F32)
|
100% |
675
5.23 IPS |
|
|
Depth Estimation (F16)
|
100% |
591
4.58 IPS |
|
|
Depth Estimation (I8)
|
99% |
578
4.48 IPS |
|
|
Style Transfer (F32)
|
100% |
2911
3.83 IPS |
|
|
Style Transfer (F16)
|
100% |
3058
4.02 IPS |
|
|
Style Transfer (I8)
|
100% |
2829
3.72 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
911
32.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
889
31.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
834
29.8 IPS |
|
|
Text Classification (F32)
|
100% |
178
255.9 IPS |
|
|
Text Classification (F16)
|
100% |
69
98.8 IPS |
|
|
Text Classification (I8)
|
96% |
68
98.1 IPS |
|
|
Machine Translation (F32)
|
100% |
175
3.22 IPS |
|
|
Machine Translation (F16)
|
100% |
115
2.13 IPS |
|
|
Machine Translation (I8)
|
99% |
182
3.34 IPS |
