MacBook Pro (16-inch Late 2019)
Geekbench AI Score
3055
Single Precision Score
2850
Half Precision Score
878
Quantized Score
Geekbench AI 1.7.0 for macOS AVX2
Result Information
| User | BGS |
| Upload Date | March 17 2026 02:54 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon Pro 5300M |
| System Information | |
|---|---|
| Operating System | macOS 15.7.5 (Build 24G623) |
| 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 | 32.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2457
456.9 IPS |
|
|
Image Classification (HP)
|
100% |
2575
478.8 IPS |
|
|
Image Classification (Q)
|
96% |
120
22.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
317
5.14 IPS |
|
|
Image Segmentation (HP)
|
100% |
314
5.09 IPS |
|
|
Image Segmentation (Q)
|
99% |
175
2.84 IPS |
|
|
Pose Estimation (SP)
|
100% |
15596
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
14606
17.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
1794
2.10 IPS |
|
|
Object Detection (SP)
|
100% |
2364
187.5 IPS |
|
|
Object Detection (HP)
|
100% |
2242
177.8 IPS |
|
|
Object Detection (Q)
|
92% |
90
7.18 IPS |
|
|
Face Detection (SP)
|
100% |
6710
79.7 IPS |
|
|
Face Detection (HP)
|
100% |
5138
61.0 IPS |
|
|
Face Detection (Q)
|
100% |
223
2.65 IPS |
|
|
Depth Estimation (SP)
|
100% |
10922
84.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
10235
78.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
10114
79.0 IPS |
|
|
Style Transfer (SP)
|
100% |
28782
37.0 IPS |
|
|
Style Transfer (HP)
|
100% |
28663
36.8 IPS |
|
|
Style Transfer (Q)
|
96% |
37115
47.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5648
208.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5529
204.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5734
211.7 IPS |
|
|
Text Classification (SP)
|
100% |
344
459.2 IPS |
|
|
Text Classification (HP)
|
100% |
419
559.0 IPS |
|
|
Text Classification (Q)
|
93% |
437
587.0 IPS |
|
|
Machine Translation (SP)
|
100% |
603
10.4 IPS |
|
|
Machine Translation (HP)
|
100% |
383
6.60 IPS |
|
|
Machine Translation (Q)
|
98% |
387
6.68 IPS |
