MacBook Pro (15-inch Mid 2019)
Geekbench ML Score
660
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AVX2
Result Information
| User | sfoskett |
| Upload Date | September 04 2024 05:04 PM |
| Views | 2 |
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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
397
74.2 IPS |
|
|
Image Classification (F16)
|
100% |
292
54.7 IPS |
|
|
Image Classification (I8)
|
99% |
291
54.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
237
3.95 IPS |
|
|
Image Segmentation (F16)
|
100% |
193
3.22 IPS |
|
|
Image Segmentation (I8)
|
100% |
192
3.21 IPS |
|
|
Pose Estimation (F32)
|
100% |
2454
2.97 IPS |
|
|
Pose Estimation (F16)
|
100% |
1666
2.02 IPS |
|
|
Pose Estimation (I8)
|
100% |
1742
2.11 IPS |
|
|
Object Detection (F32)
|
100% |
392
29.3 IPS |
|
|
Object Detection (F16)
|
100% |
323
24.1 IPS |
|
|
Object Detection (I8)
|
97% |
376
28.1 IPS |
|
|
Face Detection (F32)
|
100% |
748
8.89 IPS |
|
|
Face Detection (F16)
|
98% |
633
7.53 IPS |
|
|
Face Detection (I8)
|
97% |
638
7.58 IPS |
|
|
Depth Estimation (F32)
|
100% |
1208
9.37 IPS |
|
|
Depth Estimation (F16)
|
100% |
956
7.41 IPS |
|
|
Depth Estimation (I8)
|
99% |
963
7.47 IPS |
|
|
Style Transfer (F32)
|
100% |
3806
5.01 IPS |
|
|
Style Transfer (F16)
|
100% |
3315
4.36 IPS |
|
|
Style Transfer (I8)
|
100% |
3306
4.35 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1558
55.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1161
41.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1164
41.6 IPS |
|
|
Text Classification (F32)
|
100% |
402
578.1 IPS |
|
|
Text Classification (F16)
|
100% |
393
564.4 IPS |
|
|
Text Classification (I8)
|
96% |
399
573.2 IPS |
|
|
Machine Translation (F32)
|
100% |
256
4.72 IPS |
|
|
Machine Translation (F16)
|
100% |
324
5.95 IPS |
|
|
Machine Translation (I8)
|
99% |
253
4.65 IPS |
