MacBook Pro (16-inch Late 2019)
Geekbench AI Score
842
Single Precision Score
103
Half Precision Score
83
Quantized Score
Geekbench AI 1.3.0 for macOS AVX2
Result Information
| User | dengduck |
| Upload Date | May 06 2025 06:11 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i7-9750H |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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% |
419
77.9 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
393
6.37 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
2649
3.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
644
0.75 IPS |
|
|
Pose Estimation (Q)
|
96% |
582
0.68 IPS |
|
|
Object Detection (SP)
|
100% |
415
32.9 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
896
10.6 IPS |
|
|
Face Detection (HP)
|
100% |
706
8.39 IPS |
|
|
Face Detection (Q)
|
100% |
303
3.60 IPS |
|
|
Depth Estimation (SP)
|
100% |
1324
10.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
979
7.54 IPS |
|
|
Depth Estimation (Q)
|
85% |
648
5.06 IPS |
|
|
Style Transfer (SP)
|
100% |
3889
5.00 IPS |
|
|
Style Transfer (HP)
|
100% |
2475
3.18 IPS |
|
|
Style Transfer (Q)
|
96% |
1916
2.47 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1363
50.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
516
19.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
321
11.8 IPS |
|
|
Text Classification (SP)
|
100% |
462
616.1 IPS |
|
|
Text Classification (HP)
|
100% |
450
600.1 IPS |
|
|
Text Classification (Q)
|
93% |
440
591.2 IPS |
|
|
Machine Translation (SP)
|
100% |
343
5.92 IPS |
|
|
Machine Translation (HP)
|
100% |
547
9.43 IPS |
|
|
Machine Translation (Q)
|
98% |
531
9.17 IPS |
