MacBook Pro (16-inch Late 2019)
Geekbench ML Score
715
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AVX2
Result Information
| Upload Date | August 16 2024 03:26 PM |
| Views | 3 |
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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
419
78.4 IPS |
|
|
Image Classification (F16)
|
100% |
301
56.4 IPS |
|
|
Image Classification (I8)
|
99% |
302
56.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
272
4.54 IPS |
|
|
Image Segmentation (F16)
|
100% |
212
3.54 IPS |
|
|
Image Segmentation (I8)
|
100% |
214
3.58 IPS |
|
|
Pose Estimation (F32)
|
100% |
2841
3.44 IPS |
|
|
Pose Estimation (F16)
|
100% |
1969
2.38 IPS |
|
|
Pose Estimation (I8)
|
100% |
1949
2.36 IPS |
|
|
Object Detection (F32)
|
100% |
415
31.0 IPS |
|
|
Object Detection (F16)
|
100% |
346
25.8 IPS |
|
|
Object Detection (I8)
|
97% |
420
31.3 IPS |
|
|
Face Detection (F32)
|
100% |
871
10.4 IPS |
|
|
Face Detection (F16)
|
98% |
700
8.32 IPS |
|
|
Face Detection (I8)
|
97% |
705
8.39 IPS |
|
|
Depth Estimation (F32)
|
100% |
1191
9.23 IPS |
|
|
Depth Estimation (F16)
|
100% |
949
7.36 IPS |
|
|
Depth Estimation (I8)
|
99% |
948
7.35 IPS |
|
|
Style Transfer (F32)
|
100% |
4194
5.52 IPS |
|
|
Style Transfer (F16)
|
100% |
4376
5.76 IPS |
|
|
Style Transfer (I8)
|
100% |
4274
5.62 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1852
66.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1175
42.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1191
42.5 IPS |
|
|
Text Classification (F32)
|
100% |
424
610.1 IPS |
|
|
Text Classification (F16)
|
100% |
409
587.9 IPS |
|
|
Text Classification (I8)
|
96% |
410
588.7 IPS |
|
|
Machine Translation (F32)
|
100% |
255
4.69 IPS |
|
|
Machine Translation (F16)
|
100% |
323
5.94 IPS |
|
|
Machine Translation (I8)
|
99% |
256
4.71 IPS |
