MacBook Pro (16-inch Late 2019)
Geekbench AI Score
3346
Single Precision Score
3475
Half Precision Score
996
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | davidga |
| Upload Date | January 07 2025 10:40 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon Pro 5500M |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
2881
535.7 IPS |
|
|
Image Classification (HP)
|
100% |
2644
491.8 IPS |
|
|
Image Classification (Q)
|
96% |
112
20.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
326
5.29 IPS |
|
|
Image Segmentation (HP)
|
100% |
326
5.28 IPS |
|
|
Image Segmentation (Q)
|
99% |
193
3.13 IPS |
|
|
Pose Estimation (SP)
|
100% |
18160
21.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
19161
22.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
1976
2.32 IPS |
|
|
Object Detection (SP)
|
100% |
2799
222.0 IPS |
|
|
Object Detection (HP)
|
100% |
2737
217.1 IPS |
|
|
Object Detection (Q)
|
92% |
123
9.85 IPS |
|
|
Face Detection (SP)
|
100% |
6737
80.0 IPS |
|
|
Face Detection (HP)
|
100% |
7797
92.6 IPS |
|
|
Face Detection (Q)
|
100% |
227
2.70 IPS |
|
|
Depth Estimation (SP)
|
100% |
12983
100.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
12492
96.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
11790
92.0 IPS |
|
|
Style Transfer (SP)
|
100% |
33641
43.2 IPS |
|
|
Style Transfer (HP)
|
100% |
36355
46.7 IPS |
|
|
Style Transfer (Q)
|
96% |
46781
60.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6040
223.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8485
313.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7348
271.3 IPS |
|
|
Text Classification (SP)
|
100% |
344
459.8 IPS |
|
|
Text Classification (HP)
|
100% |
402
536.4 IPS |
|
|
Text Classification (Q)
|
93% |
433
581.7 IPS |
|
|
Machine Translation (SP)
|
100% |
603
10.4 IPS |
|
|
Machine Translation (HP)
|
100% |
471
8.11 IPS |
|
|
Machine Translation (Q)
|
98% |
461
7.97 IPS |
