MacBook Pro (16-inch Late 2019)
Geekbench AI Score
3350
Single Precision Score
3378
Half Precision Score
952
Quantized Score
Geekbench AI 1.4.0 for macOS AVX2
Result Information
| User | smajor |
| Upload Date | July 22 2025 08:22 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon Pro 5500M |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 32.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2957
549.8 IPS |
|
|
Image Classification (HP)
|
100% |
2951
548.8 IPS |
|
|
Image Classification (Q)
|
96% |
121
22.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
347
5.62 IPS |
|
|
Image Segmentation (HP)
|
100% |
347
5.62 IPS |
|
|
Image Segmentation (Q)
|
99% |
181
2.94 IPS |
|
|
Pose Estimation (SP)
|
100% |
18689
21.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19651
22.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
1957
2.29 IPS |
|
|
Object Detection (SP)
|
100% |
2755
218.5 IPS |
|
|
Object Detection (HP)
|
100% |
2582
204.8 IPS |
|
|
Object Detection (Q)
|
92% |
85
6.76 IPS |
|
|
Face Detection (SP)
|
100% |
6572
78.1 IPS |
|
|
Face Detection (HP)
|
100% |
6604
78.5 IPS |
|
|
Face Detection (Q)
|
100% |
214
2.54 IPS |
|
|
Depth Estimation (SP)
|
100% |
13112
101.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
12663
97.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
12480
97.5 IPS |
|
|
Style Transfer (SP)
|
100% |
34624
44.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38159
49.1 IPS |
|
|
Style Transfer (Q)
|
96% |
46839
60.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6005
221.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7333
270.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7463
275.6 IPS |
|
|
Text Classification (SP)
|
100% |
332
443.4 IPS |
|
|
Text Classification (HP)
|
100% |
401
535.4 IPS |
|
|
Text Classification (Q)
|
93% |
447
600.4 IPS |
|
|
Machine Translation (SP)
|
100% |
567
9.76 IPS |
|
|
Machine Translation (HP)
|
100% |
397
6.84 IPS |
|
|
Machine Translation (Q)
|
98% |
405
7.00 IPS |
