MacBook Pro (16-inch Late 2019)
Geekbench AI Score
3439
Single Precision Score
3656
Half Precision Score
1068
Quantized Score
Geekbench AI 1.1.0 for macOS AVX2
Result Information
| Upload Date | September 18 2024 03:11 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon Pro 5500M |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| 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% |
3007
559.2 IPS |
|
|
Image Classification (HP)
|
100% |
2835
527.2 IPS |
|
|
Image Classification (Q)
|
96% |
133
24.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
349
5.65 IPS |
|
|
Image Segmentation (HP)
|
100% |
349
5.66 IPS |
|
|
Image Segmentation (Q)
|
99% |
222
3.61 IPS |
|
|
Pose Estimation (SP)
|
100% |
18653
21.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19667
22.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
2114
2.48 IPS |
|
|
Object Detection (SP)
|
100% |
2769
219.6 IPS |
|
|
Object Detection (HP)
|
100% |
2715
215.3 IPS |
|
|
Object Detection (Q)
|
92% |
159
12.7 IPS |
|
|
Face Detection (SP)
|
100% |
10065
119.6 IPS |
|
|
Face Detection (HP)
|
100% |
10550
125.4 IPS |
|
|
Face Detection (Q)
|
100% |
241
2.86 IPS |
|
|
Depth Estimation (SP)
|
100% |
12580
96.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
11439
88.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
11874
92.7 IPS |
|
|
Style Transfer (SP)
|
100% |
34005
43.7 IPS |
|
|
Style Transfer (HP)
|
100% |
36416
46.8 IPS |
|
|
Style Transfer (Q)
|
96% |
45173
58.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5829
215.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8378
309.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7301
269.6 IPS |
|
|
Text Classification (SP)
|
100% |
354
472.6 IPS |
|
|
Text Classification (HP)
|
100% |
439
585.4 IPS |
|
|
Text Classification (Q)
|
93% |
500
671.7 IPS |
|
|
Machine Translation (SP)
|
100% |
481
8.29 IPS |
|
|
Machine Translation (HP)
|
100% |
500
8.61 IPS |
|
|
Machine Translation (Q)
|
98% |
414
7.15 IPS |
