MacBook Pro (16-inch Late 2019)
Geekbench AI Score
898
Single Precision Score
638
Half Precision Score
447
Quantized Score
Geekbench AI 1.5.0 for macOS AVX2
Result Information
| Upload Date | November 18 2025 07:14 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i7-9750H |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
424
78.9 IPS |
|
|
Image Classification (HP)
|
100% |
321
59.7 IPS |
|
|
Image Classification (Q)
|
96% |
177
33.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
392
6.35 IPS |
|
|
Image Segmentation (HP)
|
100% |
384
6.22 IPS |
|
|
Image Segmentation (Q)
|
99% |
278
4.50 IPS |
|
|
Pose Estimation (SP)
|
100% |
2703
3.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
768
0.90 IPS |
|
|
Pose Estimation (Q)
|
96% |
679
0.80 IPS |
|
|
Object Detection (SP)
|
100% |
434
34.4 IPS |
|
|
Object Detection (HP)
|
100% |
357
28.3 IPS |
|
|
Object Detection (Q)
|
92% |
210
16.8 IPS |
|
|
Face Detection (SP)
|
100% |
870
10.3 IPS |
|
|
Face Detection (HP)
|
100% |
693
8.24 IPS |
|
|
Face Detection (Q)
|
100% |
307
3.65 IPS |
|
|
Depth Estimation (SP)
|
100% |
1371
10.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1054
8.12 IPS |
|
|
Depth Estimation (Q)
|
85% |
681
5.32 IPS |
|
|
Style Transfer (SP)
|
100% |
4166
5.36 IPS |
|
|
Style Transfer (HP)
|
100% |
2909
3.74 IPS |
|
|
Style Transfer (Q)
|
96% |
2275
2.94 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1332
49.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
587
21.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
371
13.7 IPS |
|
|
Text Classification (SP)
|
100% |
470
627.1 IPS |
|
|
Text Classification (HP)
|
100% |
493
658.6 IPS |
|
|
Text Classification (Q)
|
93% |
483
648.0 IPS |
|
|
Machine Translation (SP)
|
100% |
563
9.70 IPS |
|
|
Machine Translation (HP)
|
100% |
540
9.31 IPS |
|
|
Machine Translation (Q)
|
98% |
541
9.35 IPS |
