MacBook Pro (16-inch Late 2019)
Geekbench AI Score
905
Single Precision Score
110
Half Precision Score
87
Quantized Score
Geekbench AI 1.5.0 for macOS AVX2
Result Information
| Upload Date | October 13 2025 04:32 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i9-9880H |
| System Information | |
|---|---|
| Operating System | macOS 15.7.2 (Build 24G313) |
| 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% |
428
79.7 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
493
7.99 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
2728
3.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
842
0.98 IPS |
|
|
Pose Estimation (Q)
|
96% |
644
0.75 IPS |
|
|
Object Detection (SP)
|
100% |
436
34.6 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
963
11.4 IPS |
|
|
Face Detection (HP)
|
100% |
786
9.34 IPS |
|
|
Face Detection (Q)
|
100% |
310
3.68 IPS |
|
|
Depth Estimation (SP)
|
100% |
1458
11.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1042
8.03 IPS |
|
|
Depth Estimation (Q)
|
85% |
653
5.11 IPS |
|
|
Style Transfer (SP)
|
100% |
4681
6.02 IPS |
|
|
Style Transfer (HP)
|
100% |
2688
3.46 IPS |
|
|
Style Transfer (Q)
|
96% |
2080
2.68 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1564
57.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
622
23.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
348
12.9 IPS |
|
|
Text Classification (SP)
|
100% |
401
534.7 IPS |
|
|
Text Classification (HP)
|
100% |
422
562.7 IPS |
|
|
Text Classification (Q)
|
93% |
472
633.1 IPS |
|
|
Machine Translation (SP)
|
100% |
357
6.15 IPS |
|
|
Machine Translation (HP)
|
100% |
563
9.70 IPS |
|
|
Machine Translation (Q)
|
98% |
562
9.71 IPS |
