MacBook Pro (16-inch Late 2019)
Geekbench AI Score
3051
Single Precision Score
3266
Half Precision Score
374
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | tobyg |
| Upload Date | February 03 2025 04:23 PM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon Pro 5500M |
| System Information | |
|---|---|
| Operating System | macOS 14.7.2 (Build 23H311) |
| 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 | 32.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2796
519.9 IPS |
|
|
Image Classification (HP)
|
100% |
2771
515.3 IPS |
|
|
Image Classification (Q)
|
96% |
128
23.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
357
5.78 IPS |
|
|
Image Segmentation (HP)
|
100% |
361
5.85 IPS |
|
|
Image Segmentation (Q)
|
99% |
223
3.61 IPS |
|
|
Pose Estimation (SP)
|
100% |
17827
20.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19501
22.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
2059
2.41 IPS |
|
|
Object Detection (SP)
|
100% |
2721
215.8 IPS |
|
|
Object Detection (HP)
|
100% |
2658
210.9 IPS |
|
|
Object Detection (Q)
|
92% |
146
11.6 IPS |
|
|
Face Detection (SP)
|
100% |
6130
72.8 IPS |
|
|
Face Detection (HP)
|
100% |
6373
75.7 IPS |
|
|
Face Detection (Q)
|
100% |
230
2.73 IPS |
|
|
Depth Estimation (SP)
|
100% |
12079
93.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
11187
86.2 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
83.7 IPS |
|
|
Style Transfer (SP)
|
100% |
33504
43.1 IPS |
|
|
Style Transfer (HP)
|
100% |
35932
46.2 IPS |
|
|
Style Transfer (Q)
|
96% |
45964
59.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3636
134.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6969
257.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3032
111.9 IPS |
|
|
Text Classification (SP)
|
100% |
322
430.1 IPS |
|
|
Text Classification (HP)
|
100% |
381
508.8 IPS |
|
|
Text Classification (Q)
|
93% |
482
646.3 IPS |
|
|
Machine Translation (SP)
|
100% |
497
8.56 IPS |
|
|
Machine Translation (HP)
|
100% |
392
6.75 IPS |
|
|
Machine Translation (Q)
|
98% |
405
7.00 IPS |
