MacBook Pro (16-inch Late 2019)
Geekbench AI Score
863
Single Precision Score
109
Half Precision Score
89
Quantized Score
Geekbench AI 1.4.0 for macOS AVX2
Result Information
| Upload Date | July 21 2025 02:56 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i7-9750H |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
390
6.32 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
2668
3.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
766
0.89 IPS |
|
|
Pose Estimation (Q)
|
96% |
683
0.80 IPS |
|
|
Object Detection (SP)
|
100% |
447
35.5 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
879
10.4 IPS |
|
|
Face Detection (HP)
|
100% |
697
8.29 IPS |
|
|
Face Detection (Q)
|
100% |
308
3.66 IPS |
|
|
Depth Estimation (SP)
|
100% |
1402
10.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1068
8.23 IPS |
|
|
Depth Estimation (Q)
|
85% |
684
5.35 IPS |
|
|
Style Transfer (SP)
|
100% |
4098
5.27 IPS |
|
|
Style Transfer (HP)
|
100% |
2790
3.59 IPS |
|
|
Style Transfer (Q)
|
96% |
2240
2.89 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1391
51.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
594
21.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
376
13.9 IPS |
|
|
Text Classification (SP)
|
100% |
472
629.8 IPS |
|
|
Text Classification (HP)
|
100% |
476
635.1 IPS |
|
|
Text Classification (Q)
|
93% |
476
639.0 IPS |
|
|
Machine Translation (SP)
|
100% |
353
6.09 IPS |
|
|
Machine Translation (HP)
|
100% |
548
9.43 IPS |
|
|
Machine Translation (Q)
|
98% |
547
9.46 IPS |
