MacBook Pro (16-inch Late 2019)
Geekbench AI Score
959
Single Precision Score
114
Half Precision Score
91
Quantized Score
Geekbench AI 1.5.0 for macOS AVX2
Result Information
| User | tricky |
| Upload Date | September 10 2025 05:59 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i9-9880H |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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% |
457
84.9 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
509
8.25 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
2987
3.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
871
1.02 IPS |
|
|
Pose Estimation (Q)
|
96% |
766
0.90 IPS |
|
|
Object Detection (SP)
|
100% |
477
37.9 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
1018
12.1 IPS |
|
|
Face Detection (HP)
|
100% |
779
9.26 IPS |
|
|
Face Detection (Q)
|
100% |
335
3.98 IPS |
|
|
Depth Estimation (SP)
|
100% |
1529
11.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1176
9.06 IPS |
|
|
Depth Estimation (Q)
|
85% |
734
5.74 IPS |
|
|
Style Transfer (SP)
|
100% |
4926
6.33 IPS |
|
|
Style Transfer (HP)
|
100% |
3364
4.32 IPS |
|
|
Style Transfer (Q)
|
96% |
2581
3.33 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1721
63.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
660
24.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
403
14.9 IPS |
|
|
Text Classification (SP)
|
100% |
484
646.0 IPS |
|
|
Text Classification (HP)
|
100% |
482
643.7 IPS |
|
|
Text Classification (Q)
|
93% |
479
642.7 IPS |
|
|
Machine Translation (SP)
|
100% |
312
5.38 IPS |
|
|
Machine Translation (HP)
|
100% |
447
7.71 IPS |
|
|
Machine Translation (Q)
|
98% |
448
7.73 IPS |
