MacBook Pro (16-inch Late 2019)
Geekbench ML Score
2824
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AVX2
Result Information
| Upload Date | August 16 2024 03:35 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2736
512.0 IPS |
|
|
Image Classification (F16)
|
100% |
2660
497.8 IPS |
|
|
Image Classification (I8)
|
99% |
2613
489.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
297
4.95 IPS |
|
|
Image Segmentation (F16)
|
100% |
308
5.14 IPS |
|
|
Image Segmentation (I8)
|
100% |
328
5.48 IPS |
|
|
Pose Estimation (F32)
|
100% |
17768
21.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
19284
23.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
19186
23.2 IPS |
|
|
Object Detection (F32)
|
100% |
1586
118.4 IPS |
|
|
Object Detection (F16)
|
100% |
1117
83.4 IPS |
|
|
Object Detection (I8)
|
97% |
1653
123.4 IPS |
|
|
Face Detection (F32)
|
100% |
9051
107.6 IPS |
|
|
Face Detection (F16)
|
98% |
8928
106.2 IPS |
|
|
Face Detection (I8)
|
97% |
8972
106.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
10654
82.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
9360
72.6 IPS |
|
|
Depth Estimation (I8)
|
37% |
9847
76.4 IPS |
|
|
Style Transfer (F32)
|
100% |
29905
39.3 IPS |
|
|
Style Transfer (F16)
|
100% |
30690
40.4 IPS |
|
|
Style Transfer (I8)
|
100% |
29771
39.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3418
122.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4021
143.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4608
164.6 IPS |
|
|
Text Classification (F32)
|
100% |
338
485.9 IPS |
|
|
Text Classification (F16)
|
100% |
350
503.3 IPS |
|
|
Text Classification (I8)
|
96% |
461
663.0 IPS |
|
|
Machine Translation (F32)
|
100% |
380
6.99 IPS |
|
|
Machine Translation (F16)
|
100% |
308
5.67 IPS |
|
|
Machine Translation (I8)
|
99% |
392
7.21 IPS |
