MacBook Pro (16-inch Late 2019)
Geekbench ML Score
2614
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AVX2
Result Information
| Upload Date | January 10 2024 10:54 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.2.1 (Build 23C71) |
| Model | MacBook Pro (16-inch Late 2019) |
| Model ID | MacBookPro16,1 |
| Motherboard | Apple Inc. Mac-E1008331FDC96864 MacBookPro16,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i9-9880H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 256 KB x 8 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2467
461.6 IPS |
|
|
Image Classification (F16)
|
100% |
1651
308.9 IPS |
|
|
Image Classification (I8)
|
99% |
1653
309.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
353
5.90 IPS |
|
|
Image Segmentation (F16)
|
100% |
398
6.65 IPS |
|
|
Image Segmentation (I8)
|
100% |
351
5.86 IPS |
|
|
Pose Estimation (F32)
|
100% |
18607
22.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
19312
23.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
19346
23.4 IPS |
|
|
Object Detection (F32)
|
100% |
784
58.6 IPS |
|
|
Object Detection (F16)
|
100% |
1148
85.7 IPS |
|
|
Object Detection (I8)
|
97% |
792
59.1 IPS |
|
|
Face Detection (F32)
|
100% |
7865
93.5 IPS |
|
|
Face Detection (F16)
|
97% |
8273
98.4 IPS |
|
|
Face Detection (I8)
|
96% |
8483
100.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
11323
87.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
11077
85.9 IPS |
|
|
Depth Estimation (I8)
|
37% |
11615
90.1 IPS |
|
|
Style Transfer (F32)
|
100% |
30191
39.7 IPS |
|
|
Style Transfer (F16)
|
100% |
27505
36.2 IPS |
|
|
Style Transfer (I8)
|
100% |
28044
36.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2028
72.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3434
122.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
3817
136.3 IPS |
|
|
Text Classification (F32)
|
100% |
341
489.4 IPS |
|
|
Text Classification (F16)
|
100% |
451
648.3 IPS |
|
|
Text Classification (I8)
|
96% |
399
573.9 IPS |
|
|
Machine Translation (F32)
|
100% |
405
7.46 IPS |
|
|
Machine Translation (F16)
|
100% |
347
6.38 IPS |
|
|
Machine Translation (I8)
|
99% |
470
8.64 IPS |
