MacBook Pro (16-inch Late 2019)
Geekbench AI Score
3379
Single Precision Score
3552
Half Precision Score
1011
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | Metalnib |
| Upload Date | March 06 2025 05:03 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon Pro 5500M |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| Model | MacBook Pro (16-inch Late 2019) |
| Model ID | MacBookPro16,1 |
| Motherboard | Apple Inc. Mac-E1008331FDC96864 MacBookPro16,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i9-9980HK |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 2.40 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% |
2988
555.7 IPS |
|
|
Image Classification (HP)
|
100% |
2869
533.5 IPS |
|
|
Image Classification (Q)
|
96% |
123
22.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
344
5.57 IPS |
|
|
Image Segmentation (HP)
|
100% |
333
5.39 IPS |
|
|
Image Segmentation (Q)
|
99% |
195
3.16 IPS |
|
|
Pose Estimation (SP)
|
100% |
18116
21.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
19531
22.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
1989
2.33 IPS |
|
|
Object Detection (SP)
|
100% |
2766
219.4 IPS |
|
|
Object Detection (HP)
|
100% |
2739
217.3 IPS |
|
|
Object Detection (Q)
|
92% |
134
10.7 IPS |
|
|
Face Detection (SP)
|
100% |
9104
108.2 IPS |
|
|
Face Detection (HP)
|
100% |
8229
97.8 IPS |
|
|
Face Detection (Q)
|
100% |
220
2.61 IPS |
|
|
Depth Estimation (SP)
|
100% |
12757
98.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
12305
94.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
12127
94.7 IPS |
|
|
Style Transfer (SP)
|
100% |
33331
42.8 IPS |
|
|
Style Transfer (HP)
|
100% |
36529
47.0 IPS |
|
|
Style Transfer (Q)
|
96% |
47824
61.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6252
230.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7634
281.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6801
251.1 IPS |
|
|
Text Classification (SP)
|
100% |
328
437.5 IPS |
|
|
Text Classification (HP)
|
100% |
535
714.6 IPS |
|
|
Text Classification (Q)
|
93% |
481
645.5 IPS |
|
|
Machine Translation (SP)
|
100% |
475
8.19 IPS |
|
|
Machine Translation (HP)
|
100% |
415
7.15 IPS |
|
|
Machine Translation (Q)
|
98% |
420
7.25 IPS |
