MacBook Pro (16-inch Late 2019)
Geekbench ML Score
2623
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AVX2
Result Information
| Upload Date | January 10 2024 10:58 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% |
2256
422.1 IPS |
|
|
Image Classification (F16)
|
100% |
2434
455.5 IPS |
|
|
Image Classification (I8)
|
99% |
2421
452.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
347
5.79 IPS |
|
|
Image Segmentation (F16)
|
100% |
352
5.88 IPS |
|
|
Image Segmentation (I8)
|
100% |
354
5.91 IPS |
|
|
Pose Estimation (F32)
|
100% |
19042
23.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
19370
23.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
19424
23.5 IPS |
|
|
Object Detection (F32)
|
100% |
910
67.9 IPS |
|
|
Object Detection (F16)
|
100% |
907
67.7 IPS |
|
|
Object Detection (I8)
|
97% |
912
68.1 IPS |
|
|
Face Detection (F32)
|
100% |
9531
113.3 IPS |
|
|
Face Detection (F16)
|
97% |
9717
115.5 IPS |
|
|
Face Detection (I8)
|
96% |
9679
115.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
10048
77.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
9375
72.7 IPS |
|
|
Depth Estimation (I8)
|
37% |
9528
73.9 IPS |
|
|
Style Transfer (F32)
|
100% |
30041
39.5 IPS |
|
|
Style Transfer (F16)
|
100% |
34323
45.1 IPS |
|
|
Style Transfer (I8)
|
100% |
31750
41.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3572
127.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3113
111.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
3534
126.2 IPS |
|
|
Text Classification (F32)
|
100% |
290
416.4 IPS |
|
|
Text Classification (F16)
|
100% |
328
471.6 IPS |
|
|
Text Classification (I8)
|
96% |
352
506.6 IPS |
|
|
Machine Translation (F32)
|
100% |
353
6.50 IPS |
|
|
Machine Translation (F16)
|
100% |
249
4.59 IPS |
|
|
Machine Translation (I8)
|
99% |
392
7.21 IPS |
