MacBook Pro (16-inch Late 2019)
Geekbench AI Score
991
Single Precision Score
715
Half Precision Score
491
Quantized Score
Geekbench AI 1.6.0 for macOS AVX2
Result Information
| Upload Date | January 23 2026 10:57 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i9-9980HK |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| Model | MacBook Pro (16-inch Late 2019) |
| Model ID | MacBookPro16,1 |
| Motherboard | Apple Inc. Mac-E1008331FDC96864 MacBookPro16,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i9-9980HK |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
460
85.5 IPS |
|
|
Image Classification (HP)
|
100% |
347
64.5 IPS |
|
|
Image Classification (Q)
|
96% |
192
35.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
537
8.71 IPS |
|
|
Image Segmentation (HP)
|
100% |
449
7.28 IPS |
|
|
Image Segmentation (Q)
|
99% |
314
5.10 IPS |
|
|
Pose Estimation (SP)
|
100% |
2720
3.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
852
0.99 IPS |
|
|
Pose Estimation (Q)
|
96% |
765
0.90 IPS |
|
|
Object Detection (SP)
|
100% |
487
38.6 IPS |
|
|
Object Detection (HP)
|
100% |
392
31.1 IPS |
|
|
Object Detection (Q)
|
92% |
228
18.2 IPS |
|
|
Face Detection (SP)
|
100% |
1053
12.5 IPS |
|
|
Face Detection (HP)
|
100% |
850
10.1 IPS |
|
|
Face Detection (Q)
|
100% |
349
4.14 IPS |
|
|
Depth Estimation (SP)
|
100% |
1412
10.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1223
9.42 IPS |
|
|
Depth Estimation (Q)
|
85% |
767
6.00 IPS |
|
|
Style Transfer (SP)
|
100% |
3850
4.95 IPS |
|
|
Style Transfer (HP)
|
100% |
3533
4.54 IPS |
|
|
Style Transfer (Q)
|
96% |
2678
3.46 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1603
59.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
680
25.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
414
15.3 IPS |
|
|
Text Classification (SP)
|
100% |
499
665.9 IPS |
|
|
Text Classification (HP)
|
100% |
496
661.8 IPS |
|
|
Text Classification (Q)
|
93% |
512
686.6 IPS |
|
|
Machine Translation (SP)
|
100% |
612
10.5 IPS |
|
|
Machine Translation (HP)
|
100% |
543
9.35 IPS |
|
|
Machine Translation (Q)
|
98% |
517
8.93 IPS |
