MacBook Pro (16-inch Late 2019)
Geekbench AI Score
869
Single Precision Score
114
Half Precision Score
88
Quantized Score
Geekbench AI 1.4.0 for macOS AVX2
Result Information
| Upload Date | August 20 2025 06:16 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i9-9980HK |
| System Information | |
|---|---|
| Operating System | macOS 15.6 (Build 24G84) |
| 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% |
434
80.6 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
500
8.10 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
2500
2.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
834
0.97 IPS |
|
|
Pose Estimation (Q)
|
96% |
705
0.83 IPS |
|
|
Object Detection (SP)
|
100% |
480
38.1 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
1041
12.4 IPS |
|
|
Face Detection (HP)
|
100% |
855
10.2 IPS |
|
|
Face Detection (Q)
|
100% |
359
4.26 IPS |
|
|
Depth Estimation (SP)
|
100% |
1417
10.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1232
9.49 IPS |
|
|
Depth Estimation (Q)
|
85% |
751
5.88 IPS |
|
|
Style Transfer (SP)
|
100% |
3676
4.73 IPS |
|
|
Style Transfer (HP)
|
100% |
3235
4.16 IPS |
|
|
Style Transfer (Q)
|
96% |
2220
2.86 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1609
59.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
679
25.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
363
13.4 IPS |
|
|
Text Classification (SP)
|
100% |
322
429.3 IPS |
|
|
Text Classification (HP)
|
100% |
333
444.8 IPS |
|
|
Text Classification (Q)
|
93% |
343
459.9 IPS |
|
|
Machine Translation (SP)
|
100% |
338
5.83 IPS |
|
|
Machine Translation (HP)
|
100% |
590
10.2 IPS |
|
|
Machine Translation (Q)
|
98% |
588
10.2 IPS |
