MacBook Pro (16-inch Late 2019)
Geekbench ML Score
2770
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AVX2
Result Information
| Upload Date | August 17 2024 04:17 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A5320a) |
| Model | MacBook Pro (16-inch Late 2019) |
| Model ID | MacBookPro16,1 |
| Motherboard | Apple Inc. Mac-E1008331FDC96864 MacBookPro16,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9750H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 6 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 32.0 KB x 6 |
| L2 Cache | 256 KB x 6 |
| L3 Cache | 12.0 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% |
2476
463.3 IPS |
|
|
Image Classification (F16)
|
100% |
2419
452.6 IPS |
|
|
Image Classification (I8)
|
99% |
2575
481.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
317
5.30 IPS |
|
|
Image Segmentation (F16)
|
100% |
317
5.30 IPS |
|
|
Image Segmentation (I8)
|
100% |
317
5.30 IPS |
|
|
Pose Estimation (F32)
|
100% |
18175
22.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
19356
23.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
19397
23.5 IPS |
|
|
Object Detection (F32)
|
100% |
1354
101.1 IPS |
|
|
Object Detection (F16)
|
100% |
1591
118.8 IPS |
|
|
Object Detection (I8)
|
97% |
1277
95.3 IPS |
|
|
Face Detection (F32)
|
100% |
9244
109.9 IPS |
|
|
Face Detection (F16)
|
98% |
9729
115.7 IPS |
|
|
Face Detection (I8)
|
97% |
9646
114.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
12034
93.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
9893
76.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
9592
74.4 IPS |
|
|
Style Transfer (F32)
|
100% |
29810
39.2 IPS |
|
|
Style Transfer (F16)
|
100% |
30712
40.4 IPS |
|
|
Style Transfer (I8)
|
100% |
30782
40.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3676
131.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3669
131.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4567
163.1 IPS |
|
|
Text Classification (F32)
|
100% |
294
422.0 IPS |
|
|
Text Classification (F16)
|
100% |
344
494.9 IPS |
|
|
Text Classification (I8)
|
96% |
365
523.9 IPS |
|
|
Machine Translation (F32)
|
100% |
360
6.62 IPS |
|
|
Machine Translation (F16)
|
100% |
253
4.65 IPS |
|
|
Machine Translation (I8)
|
99% |
356
6.56 IPS |
