MacBook Pro (15-inch Mid 2019)
Geekbench ML Score
1277
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AVX2
Result Information
| User | sfoskett |
| Upload Date | September 04 2024 07:06 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 16.00 GB |
| Transfer Rate | 2400 MT/s |
| Type | DDR4 |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1008
188.7 IPS |
|
|
Image Classification (F16)
|
100% |
1076
201.4 IPS |
|
|
Image Classification (I8)
|
99% |
1070
200.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
267
4.45 IPS |
|
|
Image Segmentation (F16)
|
100% |
270
4.51 IPS |
|
|
Image Segmentation (I8)
|
100% |
265
4.43 IPS |
|
|
Pose Estimation (F32)
|
100% |
4894
5.93 IPS |
|
|
Pose Estimation (F16)
|
100% |
5156
6.24 IPS |
|
|
Pose Estimation (I8)
|
100% |
5162
6.25 IPS |
|
|
Object Detection (F32)
|
100% |
1007
75.2 IPS |
|
|
Object Detection (F16)
|
100% |
911
68.0 IPS |
|
|
Object Detection (I8)
|
97% |
1033
77.2 IPS |
|
|
Face Detection (F32)
|
100% |
3495
41.6 IPS |
|
|
Face Detection (F16)
|
98% |
3673
43.7 IPS |
|
|
Face Detection (I8)
|
97% |
3745
44.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
4405
34.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
4426
34.3 IPS |
|
|
Depth Estimation (I8)
|
37% |
4741
36.8 IPS |
|
|
Style Transfer (F32)
|
100% |
9924
13.1 IPS |
|
|
Style Transfer (F16)
|
100% |
10053
13.2 IPS |
|
|
Style Transfer (I8)
|
100% |
9875
13.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1745
62.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1825
65.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2523
90.1 IPS |
|
|
Text Classification (F32)
|
100% |
93
134.3 IPS |
|
|
Text Classification (F16)
|
100% |
104
149.4 IPS |
|
|
Text Classification (I8)
|
96% |
109
157.3 IPS |
|
|
Machine Translation (F32)
|
100% |
252
4.64 IPS |
|
|
Machine Translation (F16)
|
100% |
238
4.38 IPS |
|
|
Machine Translation (I8)
|
99% |
252
4.64 IPS |
