MacBook Pro (16-inch Late 2019)
Geekbench AI Score
3065
Single Precision Score
3306
Half Precision Score
870
Quantized Score
Geekbench AI 1.5.0 for macOS AVX2
Result Information
| Upload Date | December 03 2025 07:08 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon Pro 5500M |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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% |
2565
477.1 IPS |
|
|
Image Classification (HP)
|
100% |
2622
487.6 IPS |
|
|
Image Classification (Q)
|
96% |
95
17.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
286
4.64 IPS |
|
|
Image Segmentation (HP)
|
100% |
285
4.62 IPS |
|
|
Image Segmentation (Q)
|
99% |
167
2.71 IPS |
|
|
Pose Estimation (SP)
|
100% |
18523
21.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19422
22.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
1754
2.05 IPS |
|
|
Object Detection (SP)
|
100% |
2653
210.4 IPS |
|
|
Object Detection (HP)
|
100% |
2551
202.4 IPS |
|
|
Object Detection (Q)
|
92% |
114
9.13 IPS |
|
|
Face Detection (SP)
|
100% |
9574
113.8 IPS |
|
|
Face Detection (HP)
|
100% |
10068
119.6 IPS |
|
|
Face Detection (Q)
|
100% |
180
2.14 IPS |
|
|
Depth Estimation (SP)
|
100% |
12968
99.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
11915
91.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
11089
86.7 IPS |
|
|
Style Transfer (SP)
|
100% |
34408
44.2 IPS |
|
|
Style Transfer (HP)
|
100% |
36039
46.3 IPS |
|
|
Style Transfer (Q)
|
96% |
45810
59.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3861
142.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7429
274.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6500
240.0 IPS |
|
|
Text Classification (SP)
|
71% |
250
361.6 IPS |
|
|
Text Classification (HP)
|
71% |
274
396.3 IPS |
|
|
Text Classification (Q)
|
71% |
283
409.4 IPS |
|
|
Machine Translation (SP)
|
100% |
493
8.49 IPS |
|
|
Machine Translation (HP)
|
100% |
479
8.26 IPS |
|
|
Machine Translation (Q)
|
98% |
466
8.06 IPS |
