MacBook Pro (16-inch Late 2019)
Geekbench AI Score
3014
Single Precision Score
3161
Half Precision Score
944
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | vanboquestaels |
| Upload Date | February 20 2025 09:38 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon Pro 5300M |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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% |
2440
453.8 IPS |
|
|
Image Classification (HP)
|
100% |
2558
475.7 IPS |
|
|
Image Classification (Q)
|
96% |
127
23.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
319
5.17 IPS |
|
|
Image Segmentation (HP)
|
100% |
325
5.26 IPS |
|
|
Image Segmentation (Q)
|
99% |
226
3.66 IPS |
|
|
Pose Estimation (SP)
|
100% |
16124
18.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
15087
17.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
2217
2.60 IPS |
|
|
Object Detection (SP)
|
100% |
2449
194.3 IPS |
|
|
Object Detection (HP)
|
100% |
2308
183.1 IPS |
|
|
Object Detection (Q)
|
92% |
134
10.7 IPS |
|
|
Face Detection (SP)
|
100% |
8444
100.3 IPS |
|
|
Face Detection (HP)
|
100% |
8847
105.1 IPS |
|
|
Face Detection (Q)
|
100% |
188
2.24 IPS |
|
|
Depth Estimation (SP)
|
100% |
10903
84.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
10834
83.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10166
79.4 IPS |
|
|
Style Transfer (SP)
|
100% |
29602
38.1 IPS |
|
|
Style Transfer (HP)
|
100% |
29183
37.5 IPS |
|
|
Style Transfer (Q)
|
96% |
38596
49.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4467
164.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6363
234.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5700
210.5 IPS |
|
|
Text Classification (SP)
|
100% |
308
411.5 IPS |
|
|
Text Classification (HP)
|
100% |
431
575.9 IPS |
|
|
Text Classification (Q)
|
93% |
378
507.6 IPS |
|
|
Machine Translation (SP)
|
100% |
538
9.26 IPS |
|
|
Machine Translation (HP)
|
100% |
449
7.73 IPS |
|
|
Machine Translation (Q)
|
98% |
415
7.16 IPS |
