MacBook Pro (16-inch Late 2019)
Geekbench AI Score
3066
Single Precision Score
3069
Half Precision Score
934
Quantized Score
Geekbench AI 1.1.0 for macOS AVX2
Result Information
| User | danlopex |
| Upload Date | November 09 2024 09:21 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon Pro 5300M |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5073e) |
| Model | MacBook Pro (16-inch Late 2019) |
| Model ID | MacBookPro16,1 |
| Motherboard | Apple Inc. Mac-E1008331FDC96864 MacBookPro16,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9750H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2490
463.0 IPS |
|
|
Image Classification (HP)
|
100% |
2583
480.3 IPS |
|
|
Image Classification (Q)
|
96% |
137
25.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
327
5.30 IPS |
|
|
Image Segmentation (HP)
|
100% |
332
5.38 IPS |
|
|
Image Segmentation (Q)
|
99% |
194
3.14 IPS |
|
|
Pose Estimation (SP)
|
100% |
15653
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
14728
17.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
1922
2.25 IPS |
|
|
Object Detection (SP)
|
100% |
2389
189.5 IPS |
|
|
Object Detection (HP)
|
100% |
2362
187.4 IPS |
|
|
Object Detection (Q)
|
92% |
155
12.4 IPS |
|
|
Face Detection (SP)
|
100% |
9079
107.9 IPS |
|
|
Face Detection (HP)
|
100% |
9112
108.3 IPS |
|
|
Face Detection (Q)
|
100% |
210
2.49 IPS |
|
|
Depth Estimation (SP)
|
100% |
11394
87.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
10166
78.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9754
76.1 IPS |
|
|
Style Transfer (SP)
|
100% |
29478
37.9 IPS |
|
|
Style Transfer (HP)
|
100% |
28891
37.1 IPS |
|
|
Style Transfer (Q)
|
96% |
37157
47.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5404
199.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6001
221.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6014
222.1 IPS |
|
|
Text Classification (SP)
|
100% |
330
440.4 IPS |
|
|
Text Classification (HP)
|
100% |
404
539.3 IPS |
|
|
Text Classification (Q)
|
93% |
371
498.4 IPS |
|
|
Machine Translation (SP)
|
100% |
444
7.64 IPS |
|
|
Machine Translation (HP)
|
100% |
383
6.60 IPS |
|
|
Machine Translation (Q)
|
98% |
377
6.52 IPS |
