MacBook Pro (16-inch Late 2019)
Geekbench AI Score
854
Single Precision Score
680
Half Precision Score
471
Quantized Score
Geekbench AI 1.3.0 for macOS AVX2
Result Information
| User | sth519 |
| Upload Date | April 01 2025 01:36 PM |
| Views | 2 |
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% |
437
81.3 IPS |
|
|
Image Classification (HP)
|
100% |
335
62.3 IPS |
|
|
Image Classification (Q)
|
96% |
186
34.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
488
7.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
418
6.77 IPS |
|
|
Image Segmentation (Q)
|
99% |
298
4.83 IPS |
|
|
Pose Estimation (SP)
|
100% |
2418
2.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
836
0.98 IPS |
|
|
Pose Estimation (Q)
|
96% |
737
0.86 IPS |
|
|
Object Detection (SP)
|
100% |
463
36.7 IPS |
|
|
Object Detection (HP)
|
100% |
365
29.0 IPS |
|
|
Object Detection (Q)
|
92% |
216
17.2 IPS |
|
|
Face Detection (SP)
|
100% |
949
11.3 IPS |
|
|
Face Detection (HP)
|
100% |
775
9.21 IPS |
|
|
Face Detection (Q)
|
100% |
344
4.09 IPS |
|
|
Depth Estimation (SP)
|
100% |
1277
9.84 IPS |
|
|
Depth Estimation (HP)
|
99% |
1217
9.37 IPS |
|
|
Depth Estimation (Q)
|
85% |
748
5.85 IPS |
|
|
Style Transfer (SP)
|
100% |
3312
4.26 IPS |
|
|
Style Transfer (HP)
|
100% |
3378
4.34 IPS |
|
|
Style Transfer (Q)
|
96% |
2526
3.26 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1364
50.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
662
24.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
399
14.7 IPS |
|
|
Text Classification (SP)
|
100% |
466
621.5 IPS |
|
|
Text Classification (HP)
|
100% |
464
619.2 IPS |
|
|
Text Classification (Q)
|
93% |
459
616.6 IPS |
|
|
Machine Translation (SP)
|
100% |
340
5.86 IPS |
|
|
Machine Translation (HP)
|
100% |
507
8.74 IPS |
|
|
Machine Translation (Q)
|
98% |
513
8.86 IPS |
