MacBook Pro (16-inch Late 2019)
Geekbench AI Score
980
Single Precision Score
725
Half Precision Score
494
Quantized Score
Geekbench AI 1.6.0 for macOS AVX2
Result Information
| Upload Date | January 11 2026 04:18 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i9-9980HK |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 32.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
470
87.5 IPS |
|
|
Image Classification (HP)
|
100% |
354
65.8 IPS |
|
|
Image Classification (Q)
|
96% |
194
36.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
545
8.83 IPS |
|
|
Image Segmentation (HP)
|
100% |
449
7.28 IPS |
|
|
Image Segmentation (Q)
|
99% |
318
5.16 IPS |
|
|
Pose Estimation (SP)
|
100% |
2639
3.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
885
1.03 IPS |
|
|
Pose Estimation (Q)
|
96% |
764
0.89 IPS |
|
|
Object Detection (SP)
|
100% |
490
38.9 IPS |
|
|
Object Detection (HP)
|
100% |
383
30.4 IPS |
|
|
Object Detection (Q)
|
92% |
228
18.2 IPS |
|
|
Face Detection (SP)
|
100% |
1039
12.3 IPS |
|
|
Face Detection (HP)
|
100% |
853
10.1 IPS |
|
|
Face Detection (Q)
|
100% |
332
3.94 IPS |
|
|
Depth Estimation (SP)
|
100% |
1351
10.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1198
9.23 IPS |
|
|
Depth Estimation (Q)
|
85% |
773
6.04 IPS |
|
|
Style Transfer (SP)
|
100% |
3652
4.69 IPS |
|
|
Style Transfer (HP)
|
100% |
3600
4.63 IPS |
|
|
Style Transfer (Q)
|
96% |
2617
3.38 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1533
56.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
707
26.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
422
15.6 IPS |
|
|
Text Classification (SP)
|
100% |
492
656.3 IPS |
|
|
Text Classification (HP)
|
100% |
501
669.1 IPS |
|
|
Text Classification (Q)
|
93% |
500
671.6 IPS |
|
|
Machine Translation (SP)
|
100% |
639
11.0 IPS |
|
|
Machine Translation (HP)
|
100% |
573
9.87 IPS |
|
|
Machine Translation (Q)
|
98% |
569
9.83 IPS |
