MacBook Pro (16-inch Late 2019)
Geekbench AI Score
913
Single Precision Score
112
Half Precision Score
89
Quantized Score
Geekbench AI 1.5.0 for macOS AVX2
Result Information
| Upload Date | November 30 2025 03:08 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i9-9880H |
| System Information | |
|---|---|
| Operating System | macOS 15.7.2 (Build 24G325) |
| Model | MacBook Pro (16-inch Late 2019) |
| Model ID | MacBookPro16,1 |
| Motherboard | Apple Inc. Mac-E1008331FDC96864 MacBookPro16,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i9-9880H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
437
81.2 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
441
7.15 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
2767
3.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
825
0.96 IPS |
|
|
Pose Estimation (Q)
|
96% |
692
0.81 IPS |
|
|
Object Detection (SP)
|
100% |
476
37.7 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
979
11.6 IPS |
|
|
Face Detection (HP)
|
100% |
765
9.09 IPS |
|
|
Face Detection (Q)
|
100% |
334
3.97 IPS |
|
|
Depth Estimation (SP)
|
100% |
1476
11.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1145
8.82 IPS |
|
|
Depth Estimation (Q)
|
85% |
728
5.69 IPS |
|
|
Style Transfer (SP)
|
100% |
4737
6.09 IPS |
|
|
Style Transfer (HP)
|
100% |
3141
4.04 IPS |
|
|
Style Transfer (Q)
|
96% |
2381
3.07 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1616
59.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
640
23.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
386
14.3 IPS |
|
|
Text Classification (SP)
|
100% |
430
573.5 IPS |
|
|
Text Classification (HP)
|
100% |
433
578.5 IPS |
|
|
Text Classification (Q)
|
93% |
422
566.7 IPS |
|
|
Machine Translation (SP)
|
100% |
337
5.80 IPS |
|
|
Machine Translation (HP)
|
100% |
516
8.89 IPS |
|
|
Machine Translation (Q)
|
98% |
507
8.76 IPS |
