MacBook Pro (16-inch Late 2019)
Geekbench AI Score
926
Single Precision Score
112
Half Precision Score
90
Quantized Score
Geekbench AI 1.5.0 for macOS AVX2
Result Information
| Upload Date | October 23 2025 02:12 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i9-9880H |
| System Information | |
|---|---|
| Operating System | macOS 15.7.1 (Build 24G231) |
| 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% |
443
82.4 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
482
7.81 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
2945
3.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
836
0.98 IPS |
|
|
Pose Estimation (Q)
|
96% |
706
0.83 IPS |
|
|
Object Detection (SP)
|
100% |
468
37.1 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
979
11.6 IPS |
|
|
Face Detection (HP)
|
100% |
772
9.18 IPS |
|
|
Face Detection (Q)
|
100% |
334
3.96 IPS |
|
|
Depth Estimation (SP)
|
100% |
1479
11.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1153
8.88 IPS |
|
|
Depth Estimation (Q)
|
85% |
725
5.67 IPS |
|
|
Style Transfer (SP)
|
100% |
4787
6.15 IPS |
|
|
Style Transfer (HP)
|
100% |
3171
4.08 IPS |
|
|
Style Transfer (Q)
|
96% |
2427
3.13 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1636
60.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
639
23.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
387
14.3 IPS |
|
|
Text Classification (SP)
|
100% |
415
554.3 IPS |
|
|
Text Classification (HP)
|
100% |
436
581.3 IPS |
|
|
Text Classification (Q)
|
93% |
431
578.3 IPS |
|
|
Machine Translation (SP)
|
100% |
335
5.78 IPS |
|
|
Machine Translation (HP)
|
100% |
511
8.81 IPS |
|
|
Machine Translation (Q)
|
98% |
520
8.98 IPS |
