MacBook Pro (16-inch Late 2019)
Geekbench AI Score
868
Single Precision Score
639
Half Precision Score
441
Quantized Score
Geekbench AI 1.3.0 for macOS AVX2
Result Information
| User | alekseylidaks |
| Upload Date | April 13 2025 07:29 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i7-9750H |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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% |
435
80.8 IPS |
|
|
Image Classification (HP)
|
100% |
330
61.3 IPS |
|
|
Image Classification (Q)
|
96% |
177
33.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
406
6.58 IPS |
|
|
Image Segmentation (HP)
|
100% |
378
6.12 IPS |
|
|
Image Segmentation (Q)
|
99% |
274
4.44 IPS |
|
|
Pose Estimation (SP)
|
100% |
2718
3.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
791
0.92 IPS |
|
|
Pose Estimation (Q)
|
96% |
704
0.82 IPS |
|
|
Object Detection (SP)
|
100% |
447
35.5 IPS |
|
|
Object Detection (HP)
|
100% |
359
28.5 IPS |
|
|
Object Detection (Q)
|
92% |
208
16.6 IPS |
|
|
Face Detection (SP)
|
100% |
887
10.5 IPS |
|
|
Face Detection (HP)
|
100% |
705
8.38 IPS |
|
|
Face Detection (Q)
|
100% |
307
3.64 IPS |
|
|
Depth Estimation (SP)
|
100% |
1399
10.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1065
8.20 IPS |
|
|
Depth Estimation (Q)
|
85% |
674
5.27 IPS |
|
|
Style Transfer (SP)
|
100% |
4115
5.29 IPS |
|
|
Style Transfer (HP)
|
100% |
2880
3.70 IPS |
|
|
Style Transfer (Q)
|
96% |
2223
2.87 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1434
52.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
614
22.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
363
13.4 IPS |
|
|
Text Classification (SP)
|
100% |
425
567.9 IPS |
|
|
Text Classification (HP)
|
100% |
448
598.5 IPS |
|
|
Text Classification (Q)
|
93% |
449
602.9 IPS |
|
|
Machine Translation (SP)
|
100% |
364
6.27 IPS |
|
|
Machine Translation (HP)
|
100% |
546
9.41 IPS |
|
|
Machine Translation (Q)
|
98% |
526
9.09 IPS |
