MacBook Pro (16-inch Late 2019)
Geekbench AI Score
3046
Single Precision Score
3123
Half Precision Score
936
Quantized Score
Geekbench AI 1.1.0 for macOS AVX2
Result Information
| User | danlopex |
| Upload Date | November 15 2024 08:14 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 24C5079e) |
| 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% |
2488
462.7 IPS |
|
|
Image Classification (HP)
|
100% |
2581
480.0 IPS |
|
|
Image Classification (Q)
|
96% |
136
25.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
330
5.34 IPS |
|
|
Image Segmentation (HP)
|
100% |
329
5.33 IPS |
|
|
Image Segmentation (Q)
|
99% |
199
3.23 IPS |
|
|
Pose Estimation (SP)
|
100% |
15645
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
14657
17.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
1938
2.27 IPS |
|
|
Object Detection (SP)
|
100% |
2421
192.1 IPS |
|
|
Object Detection (HP)
|
100% |
2350
186.4 IPS |
|
|
Object Detection (Q)
|
92% |
151
12.1 IPS |
|
|
Face Detection (SP)
|
100% |
9090
108.0 IPS |
|
|
Face Detection (HP)
|
100% |
9067
107.7 IPS |
|
|
Face Detection (Q)
|
100% |
212
2.52 IPS |
|
|
Depth Estimation (SP)
|
100% |
11236
86.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
10688
82.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10190
79.5 IPS |
|
|
Style Transfer (SP)
|
100% |
29831
38.3 IPS |
|
|
Style Transfer (HP)
|
100% |
29484
37.9 IPS |
|
|
Style Transfer (Q)
|
96% |
38177
49.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4948
182.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6504
240.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5800
214.2 IPS |
|
|
Text Classification (SP)
|
100% |
328
437.3 IPS |
|
|
Text Classification (HP)
|
100% |
441
589.1 IPS |
|
|
Text Classification (Q)
|
93% |
374
502.6 IPS |
|
|
Machine Translation (SP)
|
100% |
448
7.72 IPS |
|
|
Machine Translation (HP)
|
100% |
369
6.35 IPS |
|
|
Machine Translation (Q)
|
98% |
368
6.36 IPS |
