MacBook Pro (16-inch Late 2019)
Geekbench AI Score
835
Single Precision Score
109
Half Precision Score
83
Quantized Score
Geekbench AI 1.6.0 for macOS AVX2
Result Information
| User | therealniks |
| Upload Date | January 11 2026 05:36 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i9-9980HK |
| System Information | |
|---|---|
| Operating System | macOS 15.7.3 (Build 24G419) |
| 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% |
430
79.9 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
497
8.05 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
2453
2.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
770
0.90 IPS |
|
|
Pose Estimation (Q)
|
96% |
584
0.68 IPS |
|
|
Object Detection (SP)
|
100% |
411
32.6 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
999
11.9 IPS |
|
|
Face Detection (HP)
|
100% |
790
9.38 IPS |
|
|
Face Detection (Q)
|
100% |
305
3.62 IPS |
|
|
Depth Estimation (SP)
|
100% |
1331
10.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1152
8.88 IPS |
|
|
Depth Estimation (Q)
|
85% |
673
5.27 IPS |
|
|
Style Transfer (SP)
|
100% |
3207
4.12 IPS |
|
|
Style Transfer (HP)
|
100% |
2482
3.19 IPS |
|
|
Style Transfer (Q)
|
96% |
1948
2.51 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1361
50.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
610
22.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
324
12.0 IPS |
|
|
Text Classification (SP)
|
100% |
371
495.5 IPS |
|
|
Text Classification (HP)
|
100% |
405
540.5 IPS |
|
|
Text Classification (Q)
|
93% |
402
539.9 IPS |
|
|
Machine Translation (SP)
|
100% |
358
6.17 IPS |
|
|
Machine Translation (HP)
|
100% |
566
9.75 IPS |
|
|
Machine Translation (Q)
|
98% |
565
9.77 IPS |
