MacBook Pro (16-inch Late 2019)
Geekbench AI Score
862
Single Precision Score
115
Half Precision Score
92
Quantized Score
Geekbench AI 1.4.0 for macOS AVX2
Result Information
| Upload Date | September 14 2025 12:33 PM |
| Views | 3 |
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 | 64.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
442
82.3 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
521
8.45 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
2407
2.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
849
0.99 IPS |
|
|
Pose Estimation (Q)
|
96% |
725
0.85 IPS |
|
|
Object Detection (SP)
|
100% |
463
36.8 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
960
11.4 IPS |
|
|
Face Detection (HP)
|
100% |
817
9.71 IPS |
|
|
Face Detection (Q)
|
100% |
339
4.02 IPS |
|
|
Depth Estimation (SP)
|
100% |
1276
9.83 IPS |
|
|
Depth Estimation (HP)
|
99% |
1160
8.94 IPS |
|
|
Depth Estimation (Q)
|
85% |
734
5.74 IPS |
|
|
Style Transfer (SP)
|
100% |
3208
4.12 IPS |
|
|
Style Transfer (HP)
|
100% |
3326
4.28 IPS |
|
|
Style Transfer (Q)
|
96% |
2568
3.31 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1476
54.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
646
23.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
397
14.7 IPS |
|
|
Text Classification (SP)
|
100% |
450
600.2 IPS |
|
|
Text Classification (HP)
|
100% |
467
623.5 IPS |
|
|
Text Classification (Q)
|
93% |
468
628.6 IPS |
|
|
Machine Translation (SP)
|
100% |
340
5.85 IPS |
|
|
Machine Translation (HP)
|
100% |
526
9.07 IPS |
|
|
Machine Translation (Q)
|
98% |
523
9.05 IPS |
