MacBook Pro (16-inch Late 2019)
Geekbench AI Score
970
Single Precision Score
661
Half Precision Score
455
Quantized Score
Geekbench AI 1.7.0 for macOS AVX2
Result Information
| User | AppleKing_29 |
| Upload Date | March 01 2026 03:33 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i9-9880H |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D125) |
| 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% |
439
81.6 IPS |
|
|
Image Classification (HP)
|
100% |
330
61.4 IPS |
|
|
Image Classification (Q)
|
96% |
183
34.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
489
7.93 IPS |
|
|
Image Segmentation (HP)
|
100% |
421
6.82 IPS |
|
|
Image Segmentation (Q)
|
99% |
295
4.79 IPS |
|
|
Pose Estimation (SP)
|
100% |
2919
3.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
785
0.92 IPS |
|
|
Pose Estimation (Q)
|
96% |
697
0.82 IPS |
|
|
Object Detection (SP)
|
100% |
466
37.0 IPS |
|
|
Object Detection (HP)
|
100% |
373
29.6 IPS |
|
|
Object Detection (Q)
|
92% |
218
17.4 IPS |
|
|
Face Detection (SP)
|
100% |
1015
12.1 IPS |
|
|
Face Detection (HP)
|
100% |
800
9.50 IPS |
|
|
Face Detection (Q)
|
100% |
334
3.96 IPS |
|
|
Depth Estimation (SP)
|
100% |
1471
11.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1152
8.88 IPS |
|
|
Depth Estimation (Q)
|
85% |
724
5.66 IPS |
|
|
Style Transfer (SP)
|
100% |
4750
6.11 IPS |
|
|
Style Transfer (HP)
|
100% |
3177
4.08 IPS |
|
|
Style Transfer (Q)
|
96% |
2465
3.18 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1486
54.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
655
24.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
375
13.9 IPS |
|
|
Text Classification (SP)
|
100% |
394
525.9 IPS |
|
|
Text Classification (HP)
|
100% |
398
531.0 IPS |
|
|
Text Classification (Q)
|
93% |
413
554.9 IPS |
|
|
Machine Translation (SP)
|
100% |
609
10.5 IPS |
|
|
Machine Translation (HP)
|
100% |
517
8.91 IPS |
|
|
Machine Translation (Q)
|
98% |
511
8.84 IPS |
