MacBook Pro (16-inch Late 2019)
Geekbench AI Score
3326
Single Precision Score
3268
Half Precision Score
1014
Quantized Score
Geekbench AI 1.1.0 for macOS AVX2
Result Information
| Upload Date | November 20 2024 04:17 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon Pro 5300M |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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% |
2461
457.7 IPS |
|
|
Image Classification (HP)
|
100% |
2563
476.6 IPS |
|
|
Image Classification (Q)
|
96% |
126
23.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
328
5.31 IPS |
|
|
Image Segmentation (HP)
|
100% |
324
5.25 IPS |
|
|
Image Segmentation (Q)
|
99% |
206
3.34 IPS |
|
|
Pose Estimation (SP)
|
100% |
16111
18.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
14920
17.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
2035
2.38 IPS |
|
|
Object Detection (SP)
|
100% |
2459
195.0 IPS |
|
|
Object Detection (HP)
|
100% |
2390
189.5 IPS |
|
|
Object Detection (Q)
|
92% |
152
12.1 IPS |
|
|
Face Detection (SP)
|
100% |
9143
108.6 IPS |
|
|
Face Detection (HP)
|
100% |
9515
113.1 IPS |
|
|
Face Detection (Q)
|
100% |
220
2.61 IPS |
|
|
Depth Estimation (SP)
|
100% |
11480
88.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
11361
87.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10668
83.3 IPS |
|
|
Style Transfer (SP)
|
100% |
30840
39.6 IPS |
|
|
Style Transfer (HP)
|
100% |
30325
39.0 IPS |
|
|
Style Transfer (Q)
|
96% |
40532
52.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5817
214.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6802
251.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6118
225.9 IPS |
|
|
Text Classification (SP)
|
100% |
348
465.1 IPS |
|
|
Text Classification (HP)
|
100% |
451
602.3 IPS |
|
|
Text Classification (Q)
|
93% |
532
714.1 IPS |
|
|
Machine Translation (SP)
|
100% |
791
13.6 IPS |
|
|
Machine Translation (HP)
|
100% |
467
8.04 IPS |
|
|
Machine Translation (Q)
|
98% |
465
8.03 IPS |
