MacBook Pro (16-inch Late 2019)
Geekbench AI Score
899
Single Precision Score
686
Half Precision Score
468
Quantized Score
Geekbench AI 1.3.0 for macOS AVX2
Result Information
| User | ddh188 |
| Upload Date | March 16 2025 01:21 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i9-9880H |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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 | 32.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
403
74.9 IPS |
|
|
Image Classification (HP)
|
100% |
335
62.3 IPS |
|
|
Image Classification (Q)
|
96% |
185
34.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
536
8.69 IPS |
|
|
Image Segmentation (HP)
|
100% |
425
6.89 IPS |
|
|
Image Segmentation (Q)
|
99% |
299
4.85 IPS |
|
|
Pose Estimation (SP)
|
100% |
2656
3.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
855
1.00 IPS |
|
|
Pose Estimation (Q)
|
96% |
740
0.87 IPS |
|
|
Object Detection (SP)
|
100% |
468
37.1 IPS |
|
|
Object Detection (HP)
|
100% |
375
29.7 IPS |
|
|
Object Detection (Q)
|
92% |
219
17.5 IPS |
|
|
Face Detection (SP)
|
100% |
1012
12.0 IPS |
|
|
Face Detection (HP)
|
100% |
790
9.38 IPS |
|
|
Face Detection (Q)
|
100% |
327
3.89 IPS |
|
|
Depth Estimation (SP)
|
100% |
1331
10.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1196
9.21 IPS |
|
|
Depth Estimation (Q)
|
85% |
718
5.62 IPS |
|
|
Style Transfer (SP)
|
100% |
3574
4.59 IPS |
|
|
Style Transfer (HP)
|
100% |
3357
4.32 IPS |
|
|
Style Transfer (Q)
|
96% |
2600
3.36 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1615
59.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
683
25.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
392
14.5 IPS |
|
|
Text Classification (SP)
|
100% |
469
625.5 IPS |
|
|
Text Classification (HP)
|
100% |
434
579.6 IPS |
|
|
Text Classification (Q)
|
93% |
442
592.8 IPS |
|
|
Machine Translation (SP)
|
100% |
354
6.11 IPS |
|
|
Machine Translation (HP)
|
100% |
538
9.27 IPS |
|
|
Machine Translation (Q)
|
98% |
535
9.25 IPS |
