MacBook Pro (16-inch Late 2019)
Geekbench AI Score
952
Single Precision Score
116
Half Precision Score
92
Quantized Score
Geekbench AI 1.5.0 for macOS AVX2
Result Information
| User | Typhoonhb |
| Upload Date | September 13 2025 09:11 AM |
| Views | 5 |
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% |
447
83.2 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
492
7.98 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
2850
3.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
863
1.01 IPS |
|
|
Pose Estimation (Q)
|
96% |
752
0.88 IPS |
|
|
Object Detection (SP)
|
100% |
471
37.3 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
974
11.6 IPS |
|
|
Face Detection (HP)
|
100% |
770
9.15 IPS |
|
|
Face Detection (Q)
|
100% |
329
3.91 IPS |
|
|
Depth Estimation (SP)
|
100% |
1504
11.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1161
8.95 IPS |
|
|
Depth Estimation (Q)
|
85% |
727
5.68 IPS |
|
|
Style Transfer (SP)
|
100% |
4878
6.27 IPS |
|
|
Style Transfer (HP)
|
100% |
3439
4.42 IPS |
|
|
Style Transfer (Q)
|
96% |
2612
3.37 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1730
63.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
667
24.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
402
14.8 IPS |
|
|
Text Classification (SP)
|
100% |
478
638.3 IPS |
|
|
Text Classification (HP)
|
100% |
487
650.0 IPS |
|
|
Text Classification (Q)
|
93% |
477
639.8 IPS |
|
|
Machine Translation (SP)
|
100% |
351
6.05 IPS |
|
|
Machine Translation (HP)
|
100% |
535
9.22 IPS |
|
|
Machine Translation (Q)
|
98% |
534
9.23 IPS |
