MacBook Pro (16-inch Late 2019)
Geekbench ML Score
660
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AVX2
Result Information
| Upload Date | October 16 2024 10:05 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.0.1 (Build 24A348) |
| Model | MacBook Pro (16-inch Late 2019) |
| Model ID | MacBookPro16,1 |
| Motherboard | Apple Inc. Mac-E1008331FDC96864 MacBookPro16,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i9-9980HK |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 2.40 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 | 32.00 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% |
436
81.5 IPS |
|
|
Image Classification (F16)
|
100% |
331
61.9 IPS |
|
|
Image Classification (I8)
|
99% |
331
61.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
328
5.47 IPS |
|
|
Image Segmentation (F16)
|
100% |
284
4.74 IPS |
|
|
Image Segmentation (I8)
|
100% |
293
4.90 IPS |
|
|
Pose Estimation (F32)
|
100% |
2476
3.00 IPS |
|
|
Pose Estimation (F16)
|
100% |
834
1.01 IPS |
|
|
Pose Estimation (I8)
|
100% |
833
1.01 IPS |
|
|
Object Detection (F32)
|
100% |
453
33.8 IPS |
|
|
Object Detection (F16)
|
100% |
377
28.1 IPS |
|
|
Object Detection (I8)
|
97% |
450
33.6 IPS |
|
|
Face Detection (F32)
|
100% |
1019
12.1 IPS |
|
|
Face Detection (F16)
|
98% |
824
9.80 IPS |
|
|
Face Detection (I8)
|
97% |
790
9.39 IPS |
|
|
Depth Estimation (F32)
|
100% |
1385
10.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
1148
8.90 IPS |
|
|
Depth Estimation (I8)
|
99% |
1180
9.15 IPS |
|
|
Style Transfer (F32)
|
100% |
3520
4.63 IPS |
|
|
Style Transfer (F16)
|
100% |
2827
3.72 IPS |
|
|
Style Transfer (I8)
|
100% |
2238
2.94 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1332
47.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
704
25.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
674
24.1 IPS |
|
|
Text Classification (F32)
|
100% |
384
551.6 IPS |
|
|
Text Classification (F16)
|
100% |
389
559.3 IPS |
|
|
Text Classification (I8)
|
96% |
403
579.2 IPS |
|
|
Machine Translation (F32)
|
100% |
257
4.73 IPS |
|
|
Machine Translation (F16)
|
100% |
321
5.91 IPS |
|
|
Machine Translation (I8)
|
99% |
258
4.74 IPS |
