MacBook Pro (16-inch Late 2019)
Geekbench AI Score
3235
Single Precision Score
3403
Half Precision Score
973
Quantized Score
Geekbench AI 1.3.0 for macOS AVX2
Result Information
| User | sth519 |
| Upload Date | April 01 2025 01:42 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon Pro 5500M |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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 | 32.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2953
549.3 IPS |
|
|
Image Classification (HP)
|
100% |
2910
541.2 IPS |
|
|
Image Classification (Q)
|
96% |
104
19.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
360
5.84 IPS |
|
|
Image Segmentation (HP)
|
100% |
347
5.62 IPS |
|
|
Image Segmentation (Q)
|
99% |
198
3.21 IPS |
|
|
Pose Estimation (SP)
|
100% |
19061
22.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
19652
22.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
2021
2.37 IPS |
|
|
Object Detection (SP)
|
100% |
2753
218.4 IPS |
|
|
Object Detection (HP)
|
100% |
2714
215.3 IPS |
|
|
Object Detection (Q)
|
92% |
99
7.88 IPS |
|
|
Face Detection (SP)
|
100% |
6159
73.2 IPS |
|
|
Face Detection (HP)
|
100% |
5910
70.2 IPS |
|
|
Face Detection (Q)
|
100% |
219
2.60 IPS |
|
|
Depth Estimation (SP)
|
100% |
12665
97.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
11861
91.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
11254
87.9 IPS |
|
|
Style Transfer (SP)
|
100% |
33866
43.5 IPS |
|
|
Style Transfer (HP)
|
100% |
36232
46.6 IPS |
|
|
Style Transfer (Q)
|
96% |
46115
59.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4857
179.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8391
309.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7168
264.7 IPS |
|
|
Text Classification (SP)
|
100% |
347
463.1 IPS |
|
|
Text Classification (HP)
|
100% |
406
541.5 IPS |
|
|
Text Classification (Q)
|
93% |
399
535.0 IPS |
|
|
Machine Translation (SP)
|
100% |
506
8.72 IPS |
|
|
Machine Translation (HP)
|
100% |
448
7.72 IPS |
|
|
Machine Translation (Q)
|
98% |
569
9.84 IPS |
