MacBook Pro (16-inch Late 2019)
Geekbench AI Score
2871
Single Precision Score
3190
Half Precision Score
852
Quantized Score
Geekbench AI 1.1.0 for macOS AVX2
Result Information
| User | nithinmohantk |
| Upload Date | September 22 2024 06:12 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon Pro 5500M |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5046f) |
| 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 | 64.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2384
443.3 IPS |
|
|
Image Classification (HP)
|
100% |
2515
467.7 IPS |
|
|
Image Classification (Q)
|
96% |
102
19.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
283
4.58 IPS |
|
|
Image Segmentation (HP)
|
100% |
287
4.65 IPS |
|
|
Image Segmentation (Q)
|
99% |
172
2.79 IPS |
|
|
Pose Estimation (SP)
|
100% |
18759
21.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
19773
23.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
1776
2.08 IPS |
|
|
Object Detection (SP)
|
100% |
2680
212.6 IPS |
|
|
Object Detection (HP)
|
100% |
2613
207.2 IPS |
|
|
Object Detection (Q)
|
92% |
104
8.31 IPS |
|
|
Face Detection (SP)
|
100% |
8735
103.8 IPS |
|
|
Face Detection (HP)
|
100% |
9656
114.7 IPS |
|
|
Face Detection (Q)
|
100% |
182
2.17 IPS |
|
|
Depth Estimation (SP)
|
100% |
12383
95.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
11466
88.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
11307
88.3 IPS |
|
|
Style Transfer (SP)
|
100% |
34160
43.9 IPS |
|
|
Style Transfer (HP)
|
100% |
36356
46.7 IPS |
|
|
Style Transfer (Q)
|
96% |
45876
59.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3962
146.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7046
260.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6482
239.4 IPS |
|
|
Text Classification (SP)
|
100% |
201
267.8 IPS |
|
|
Text Classification (HP)
|
100% |
244
325.6 IPS |
|
|
Text Classification (Q)
|
93% |
220
294.8 IPS |
|
|
Machine Translation (SP)
|
100% |
382
6.59 IPS |
|
|
Machine Translation (HP)
|
100% |
423
7.28 IPS |
|
|
Machine Translation (Q)
|
98% |
466
8.05 IPS |
