MacBook Pro (16-inch Late 2019)
Geekbench AI Score
908
Single Precision Score
111
Half Precision Score
89
Quantized Score
Geekbench AI 1.3.0 for macOS AVX2
Result Information
| Upload Date | August 11 2025 01:26 AM |
| Views | 15 |
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% |
456
84.8 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
414
6.71 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
2883
3.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
796
0.93 IPS |
|
|
Pose Estimation (Q)
|
96% |
658
0.77 IPS |
|
|
Object Detection (SP)
|
100% |
465
36.9 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
923
11.0 IPS |
|
|
Face Detection (HP)
|
100% |
727
8.63 IPS |
|
|
Face Detection (Q)
|
100% |
323
3.84 IPS |
|
|
Depth Estimation (SP)
|
100% |
1441
11.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1085
8.36 IPS |
|
|
Depth Estimation (Q)
|
85% |
689
5.39 IPS |
|
|
Style Transfer (SP)
|
100% |
4227
5.43 IPS |
|
|
Style Transfer (HP)
|
100% |
2810
3.61 IPS |
|
|
Style Transfer (Q)
|
96% |
2229
2.88 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1549
57.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
599
22.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
365
13.5 IPS |
|
|
Text Classification (SP)
|
100% |
465
620.9 IPS |
|
|
Text Classification (HP)
|
100% |
476
635.9 IPS |
|
|
Text Classification (Q)
|
93% |
476
639.3 IPS |
|
|
Machine Translation (SP)
|
100% |
374
6.44 IPS |
|
|
Machine Translation (HP)
|
100% |
576
9.93 IPS |
|
|
Machine Translation (Q)
|
98% |
574
9.91 IPS |
