MacBook Pro (16-inch Late 2019)
Geekbench ML Score
2623
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AVX2
Result Information
| Upload Date | August 17 2024 04:26 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A5320a) |
| 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 |
| 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 | 2667 MT/s |
| Type | DDR4 |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2629
492.0 IPS |
|
|
Image Classification (F16)
|
100% |
2220
415.4 IPS |
|
|
Image Classification (I8)
|
99% |
2468
461.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
314
5.24 IPS |
|
|
Image Segmentation (F16)
|
100% |
311
5.19 IPS |
|
|
Image Segmentation (I8)
|
100% |
310
5.17 IPS |
|
|
Pose Estimation (F32)
|
100% |
18322
22.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
19305
23.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
19388
23.5 IPS |
|
|
Object Detection (F32)
|
100% |
1015
75.8 IPS |
|
|
Object Detection (F16)
|
100% |
1088
81.3 IPS |
|
|
Object Detection (I8)
|
97% |
972
72.6 IPS |
|
|
Face Detection (F32)
|
100% |
9175
109.1 IPS |
|
|
Face Detection (F16)
|
98% |
9664
114.9 IPS |
|
|
Face Detection (I8)
|
97% |
9659
114.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
10146
78.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
9635
74.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
9454
73.3 IPS |
|
|
Style Transfer (F32)
|
100% |
31127
40.9 IPS |
|
|
Style Transfer (F16)
|
100% |
31310
41.2 IPS |
|
|
Style Transfer (I8)
|
100% |
35029
46.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3487
124.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3161
112.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
3249
116.0 IPS |
|
|
Text Classification (F32)
|
100% |
294
422.8 IPS |
|
|
Text Classification (F16)
|
100% |
344
493.7 IPS |
|
|
Text Classification (I8)
|
96% |
371
533.0 IPS |
|
|
Machine Translation (F32)
|
100% |
357
6.57 IPS |
|
|
Machine Translation (F16)
|
100% |
249
4.58 IPS |
|
|
Machine Translation (I8)
|
99% |
357
6.57 IPS |
