MacBook Pro (16-inch Late 2019)
Geekbench AI Score
880
Single Precision Score
108
Half Precision Score
87
Quantized Score
Geekbench AI 1.3.0 for macOS AVX2
Result Information
| User | haoduong0090 |
| Upload Date | April 27 2025 04:21 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i9-9880H |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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% |
439
81.6 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
522
8.46 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
2450
2.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
671
0.78 IPS |
|
|
Pose Estimation (Q)
|
96% |
639
0.75 IPS |
|
|
Object Detection (SP)
|
100% |
466
37.0 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
1028
12.2 IPS |
|
|
Face Detection (HP)
|
100% |
831
9.87 IPS |
|
|
Face Detection (Q)
|
100% |
328
3.90 IPS |
|
|
Depth Estimation (SP)
|
100% |
1289
9.93 IPS |
|
|
Depth Estimation (HP)
|
99% |
1055
8.13 IPS |
|
|
Depth Estimation (Q)
|
85% |
674
5.27 IPS |
|
|
Style Transfer (SP)
|
100% |
3397
4.37 IPS |
|
|
Style Transfer (HP)
|
100% |
2796
3.59 IPS |
|
|
Style Transfer (Q)
|
96% |
2184
2.82 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1618
59.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
600
22.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
366
13.5 IPS |
|
|
Text Classification (SP)
|
100% |
443
591.2 IPS |
|
|
Text Classification (HP)
|
100% |
443
590.7 IPS |
|
|
Text Classification (Q)
|
93% |
439
588.7 IPS |
|
|
Machine Translation (SP)
|
100% |
333
5.73 IPS |
|
|
Machine Translation (HP)
|
100% |
518
8.92 IPS |
|
|
Machine Translation (Q)
|
98% |
515
8.90 IPS |
