MacBook Pro (16-inch Late 2019)
Geekbench AI Score
932
Single Precision Score
702
Half Precision Score
485
Quantized Score
Geekbench AI 1.5.0 for macOS AVX2
Result Information
| User | felixskw |
| Upload Date | November 07 2025 11:25 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i9-9880H |
| 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 | 32.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
453
84.2 IPS |
|
|
Image Classification (HP)
|
100% |
338
62.9 IPS |
|
|
Image Classification (Q)
|
96% |
187
35.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
479
7.76 IPS |
|
|
Image Segmentation (HP)
|
100% |
433
7.01 IPS |
|
|
Image Segmentation (Q)
|
99% |
300
4.86 IPS |
|
|
Pose Estimation (SP)
|
100% |
2543
2.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
886
1.03 IPS |
|
|
Pose Estimation (Q)
|
96% |
772
0.90 IPS |
|
|
Object Detection (SP)
|
100% |
476
37.7 IPS |
|
|
Object Detection (HP)
|
100% |
383
30.4 IPS |
|
|
Object Detection (Q)
|
92% |
222
17.7 IPS |
|
|
Face Detection (SP)
|
100% |
961
11.4 IPS |
|
|
Face Detection (HP)
|
100% |
788
9.36 IPS |
|
|
Face Detection (Q)
|
100% |
349
4.15 IPS |
|
|
Depth Estimation (SP)
|
100% |
1347
10.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1198
9.23 IPS |
|
|
Depth Estimation (Q)
|
85% |
747
5.84 IPS |
|
|
Style Transfer (SP)
|
100% |
3547
4.56 IPS |
|
|
Style Transfer (HP)
|
100% |
3522
4.53 IPS |
|
|
Style Transfer (Q)
|
96% |
2631
3.39 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1472
54.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
684
25.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
413
15.2 IPS |
|
|
Text Classification (SP)
|
100% |
453
604.3 IPS |
|
|
Text Classification (HP)
|
100% |
482
643.0 IPS |
|
|
Text Classification (Q)
|
93% |
494
662.9 IPS |
|
|
Machine Translation (SP)
|
100% |
618
10.6 IPS |
|
|
Machine Translation (HP)
|
100% |
535
9.21 IPS |
|
|
Machine Translation (Q)
|
98% |
538
9.29 IPS |
