MacBook Pro (16-inch Late 2019)
Geekbench AI Score
3390
Single Precision Score
3575
Half Precision Score
997
Quantized Score
Geekbench AI 1.3.0 for macOS AVX2
Result Information
| Upload Date | May 11 2025 02:34 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon Pro 5500M |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| Model | MacBook Pro (16-inch Late 2019) |
| Model ID | MacBookPro16,1 |
| Motherboard | Apple Inc. Mac-E1008331FDC96864 MacBookPro16,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i9-9980HK |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2752
511.9 IPS |
|
|
Image Classification (HP)
|
100% |
2871
533.9 IPS |
|
|
Image Classification (Q)
|
96% |
116
21.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
348
5.64 IPS |
|
|
Image Segmentation (HP)
|
100% |
348
5.64 IPS |
|
|
Image Segmentation (Q)
|
99% |
207
3.36 IPS |
|
|
Pose Estimation (SP)
|
100% |
17921
20.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
18892
22.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
2022
2.37 IPS |
|
|
Object Detection (SP)
|
100% |
2738
217.2 IPS |
|
|
Object Detection (HP)
|
100% |
2734
216.8 IPS |
|
|
Object Detection (Q)
|
92% |
123
9.85 IPS |
|
|
Face Detection (SP)
|
100% |
9282
110.3 IPS |
|
|
Face Detection (HP)
|
100% |
8593
102.1 IPS |
|
|
Face Detection (Q)
|
100% |
235
2.79 IPS |
|
|
Depth Estimation (SP)
|
100% |
13024
100.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
12979
100.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
12822
100.2 IPS |
|
|
Style Transfer (SP)
|
100% |
33816
43.5 IPS |
|
|
Style Transfer (HP)
|
100% |
36479
46.9 IPS |
|
|
Style Transfer (Q)
|
96% |
45817
59.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4814
177.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8257
304.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7214
266.4 IPS |
|
|
Text Classification (SP)
|
100% |
311
414.6 IPS |
|
|
Text Classification (HP)
|
100% |
374
499.6 IPS |
|
|
Text Classification (Q)
|
93% |
345
463.2 IPS |
|
|
Machine Translation (SP)
|
100% |
698
12.0 IPS |
|
|
Machine Translation (HP)
|
100% |
526
9.07 IPS |
|
|
Machine Translation (Q)
|
98% |
477
8.24 IPS |
